Free Koreatown in LA History Essay Example

Free Koreatown in LA History Essay Example and ethnic connotation.

How to Disinfect Rainwater for Drinking

How to Disinfect Rainwater for Drinking You can usually drink rain straight from the sky, but if youre collecting and storing it, youll want to disinfect rainwater for drinking and cleaning. Fortunately, there are simple disinfection methods to use, whether you have power or not. This is handy information to know in case youre stuck after a storm without water or youre out camping. The same techniques can be used to prepare snow for drinking, too. Quick Methods to Disinfect Water Boiling - Reduce pathogens by boiling water for 1 minute at a rolling boil or 3 minutes if youre at an altitude greater than 2,000 meters (6,562 feet). The longer boiling time at high altitude is because water boils at a lower temperature. The recommended duration comes from the Centers for Disease Control (CDC). If you store freshly boiled water in sterile containers (which can be boiled) and seal them, the water will remain safe indefinitely. Bleach - For disinfection, add 2.3 fluid ounces of household bleach (sodium hypochlorite in water)  per 1,000 gallons of water (in other words, for a small volume of water, a splash of bleach is  more than sufficient). Allow 30 minutes for the chemicals to react.  It may seem obvious, but use unscented bleach since the scented sort includes perfumes and other undesirable chemicals.  Bleach dosage is not a hard-and-fast rule because its effectiveness depends on the temperature of the water and pH. Also, be aware that bleach may react with chemicals in the water to produce toxic gases (mostly a concern with turbid or cloudy water). Its not ideal to add bleach to water and immediately seal it in containers - its better to wait for any fumes to dissipate. Although drinking straight bleach is dangerous, the small concentration used to disinfect water isnt likely to cause problems.  Bleach dissipates within 24 hours.   Why Would You Disinfect Rainwater? The point of disinfection is to remove disease-causing microbes, which include bacteria, algae, and fungi. Rain generally doesnt contain any more microbes than any other drinking water (its often cleaner than groundwater or surface water), so its usually fine to drink or use for other purposes. If the water falls into a clean cistern or bucket, its still fine. In fact, most people who collect rainwater use it without applying any treatment. Microbial contamination of rain is less of a threat than toxins that might be in the water from surfaces it touched. However, those toxins require filtration or special treatment. What were talking about here is pure rain. Technically, you dont have to disinfect it, but most public agencies recommend taking the extra precaution to prevent illness. Ways to Disinfect Water There are four broad categories of disinfection methods: heat, filtration, irradiation, and chemical methods. Boiling water is an excellent method, but obviously, it only helps if you have a heat source. Boiling water can kill some pathogens, but it does not remove heavy metals, nitrate, pesticides, or other chemical contamination.Chlorine, iodine, and ozone are most often used for chemical disinfection. Chlorination can leave potentially toxic by-products, plus it doesnt kill all cysts or viruses. Iodination is effective, but leaves an unpleasant taste. Use of iodine is not recommended when preparing water for pregnant women or people with thyroid problems.  Adding ozone is effective, but not widely available.Irradiation is accomplished using an ultraviolet light or exposure to strong sunlight. UV light kills bacteria and viruses, but doesnt kill all the algae or cysts of pathogenic organisms. Sunlight is effective if the water is sufficiently clear, the light is bright enough, and the water is exposed to light long enough. There are too many variables to give firm recommendations on use of this method. Microfiltration effectiveness depends on the pore size of the filter. The smaller the pore size, the better the filtration, but its also slower. This technique removes all pathogens. Other techniques are becoming more widespread, including electrolysis, nano-alumina filtration, and LED irradiation.

Trade at global level Dissertation Example | Topics and Well Written Essays - 1000 words

Trade at global level - Dissertation Example Methodology is considered as the systematic use of the statistical methods to explore different research questions. A consistent and effective use of statistical methods therefore also offers researchers an insight into what is achievable and what is not. Considering the overall nature of this research study, researcher is anticipating conducting a qualitative research study. Qualitative research methods such as interviews and review of the existing literature will be performed in order to gather the data. Based on the overall nature of the study, researcher aims to take out 3 to 5 international firms in UK which are engaged into the global trade business. A questionnaire will be developed to ask semi-structured questions from the managers of these firms to understand and explore as to what methods they adapt in order to successfully trade at the global level and how these decisions are made.Principal IssueThe overall principal issue is to explore and understand through a combination of qualitative and quantitative research as to what are some of the ways which international firms adapt in order to engage into the global trade. Besides, this research study will also explore as to how these decisions are made i.e. what factors are taken into consideration in order to make the decision on entry mode for doing business at international level.At this stage, researcher is not anticipating to use any external resources however internal resources such as use of online databases as well as university library.... The aim of the Research Since global trade has became so large that its impact can be easily felt on the economy and society of any given country. Considering such an overall importance of the global trade, this research study will therefore aim to explore and understand the different dynamics of working in a global market. The focus will therefore be on understand both the macro level as well as micro level factors which are taken into consideration before firms actually make decisions to engage into global trade. The overall aim of the research is to explore and understand as to how the international firms operate into global market and some of the ways as to how global trade takes place. This research study will therefore aim to explore as to what different strategic options are exercised by UK firms to enter into global trade and how such options are exercised. Research Questions This research study aim to explore following research questions 1. What methods UK firms adapt to con duct trade at global level? This research question will focus on exploring as to what are some of the common and preferred modes of entry by the UK firms. 2. How such decisions are made? What are some of the criteria firms use in order to decide as to which mode of entry would be effective? This research question will focus on exploring as to which factors are considered as most important while making decisions to engage into the trade at the international level. Method and Sampling Methodology is considered as the systematic use of the statistical methods to explore different research questions. A consistent and effective use of statistical methods therefore also offers researchers an insight into what is achievable and what is not. Considering

Education is Important Because It Develops the Individual Essay

Education is Important Because It Develops the Individual - Essay Example The syllabus itself where learning to read, write, count, draw, take physical exercise, hear music, play games etc., serves to develop the mental and physical abilities. Once basic literacy and numeracy are achieved, many doors are opened for independent thought and action. The imagination expands, the world of books is available and with it, all areas of knowledge. Communication skills also grow, and with these comes the ability to relate to others and the world at large. Of great importance too, are the relationships formed with others in and outside of school. The other children, teacher, janitor, head teacher, classroom aide and so on, a great number of individuals outside of the family are now a part of the child's experience and serve to widen it.Such a world reflects society at large and the learning within is applied outside. The need to be polite to others, to respect those who help, serve or share knowledge, to learn to share, to participate and contribute, all these are vital elements within a good educational structure. Social skills developing thus are taking the child towards becoming an adult who can learn and who can contribute positively to society. Already we can see the value of education, both to the individual and the world. 'Social, emotional and beh... Recent research on social, emotional and behavioral skills suggests that by encouraging the attainment of these, 'Social, emotional and behavioral skills underlie almost every aspect of school, home and community life, including effective learning and getting on with other people' (Developing Children's Social, Emotional and Behavioral Skills: Guidance) The suggestion is that integrating such skills contributes to the individual's 'whole person' development, and their attainment is part of true education, which enables the person to reach their full potential. For example, the skills involved in self-motivation include the practice of sustained effort and learning, belief that a goal is attainable, the ability to deal with setbacks and to be proud of achievement. By using self-awareness too, a child or adult in fact, recognizes how thoughts, feelings and behaviors all interact and affect each other and devises ways to deal with this. Consider a child who discovers a talent or love for music, dance, art or books, or whatever. The good feelings this discovery bring about, encourage them to work at that talent and achieve goals, their potential in this area. Being 'good' at something then spills over into other aspects of life and learning, the confidence gained helps them towards a positivity which can only benefit 3. society. The ethic of working towards a goal, understanding how to deal with what goes wrong and still trying, makes for a rounded, fulfilled adult. Thus a structured education, in which formal knowledge-based education is underpinned by what is often described as 'emotional intelligence' is of vital importance to the individual and the wider society in

Length for Nickel-chrome wire of a diameter Essay Example for Free

Length for Nickel-chrome wire of a diameter Essay This is because the resistance is very high so current will be low. The wire will heat up because the resistance is high leaving me with a good range of resistances between 100-10cm. I shall now work out the current that would flow through 1m of wire: I=V/R 3/3. 6= 0. 833 A 3/5. 3= 0. 566 A 3/15. 2= 0. 197A 3/21. 3= 0. 141A 3/35. 1= 85mA   This is my desired Current. By using these results I now know what range of the ammeter needs to be. It shall be that of 0-100mA. My school has ammeters that can measure to this range. Results Length (cm) Voltage 1 (V) Current 1 (mA) Voltage2 (V) Current 2(mA)   Measurements of diameter of wire at 20 cm intervals Point measured at (cm) Diameter measured (mm)Final data (allowing for end error) I then checked the end error of the micrometer was +0. 04mm leaving me with the final data Percentage Errors of Apparatus Micrometer. When the diameter is put into the equation A=? (d/2)2 the diameter is squared so the error is doubled i. e. 10. 5% Conclusion Alessadnro Bizzarri I found out that my predictions were correct. The longer the piece of wire, the greater the resistance. This is due to the idea of the free moving electrons being resisted by atoms in the wire. There would be more collisions in a longer piece of wire, which explains the increased resistance. I also predicted that the relationship between the wire length and the resistance should be directly proportional because the line pass through the origin. I finished with a straight line graph so this prediction was also correct. This is because in a wire twice the length of another wire, there would be double the number of atoms causing resistance. From my graph my gradient is equal to 41/1. 04= 39. 42? m. Gradient= 39. 42? m. By using the formula P= Gradient ? A , I can find P. A=? (d/2) 2 = (0. 19? 10-3/2) 2 Area =2. 8? 10-8 P=2. 8? 10-8 ? 39. 42 P=110? 10-8? m Evaluation I am relatively pleased with the results obtained. I ended up with a wide range of results and my predictions were proved correct. I predicted that when I plotted R against l it would produce a straight line going through the origin. My results were accurate because on my graph nearly all of the points came into contact with the line of best fit or were very close. My techniques of measuring current and voltage were also good because the variation between repeat readings of voltage and current at each length is small. Length (cm) Difference in voltage (V) Difference in Current (mA). The range of resistances between each reading is large which gives me more spread, which makes my graph more accurate. Evaluation of results The value I have calculated for resistivity is 110? 10-8 ? /m. I looked up my data laboratory book and found it to be 110? 10-8. My unrounded value for the resistivity is 110. 3? 10-8 ? /m . This is an almost identical value to that found in the book. Sources of error In this experiment I encountered many sources of error. The inconstant thickness of wire accounts for one of them. Although I took diameter readings along the length of wire, there could still be chinks in the wire which could affect many of my results. The crocodile clips which I used also increased error slightly. The crocodile clip was in contact with an unnecessarily large section of the wire during the experiment. Because of this, I was taking voltage and current readings for a slightly inaccurate length. This is also partly due to human error because I could have placed the crocodile clip onto the exact length I wanted. My micrometer also proved to have significant source of error. The end error of the micrometer I used was +0. 04mm. The micrometer was also found to have the greatest percentage error. Its percentage error was doubled because the diameter it was used to measure was squared . (A=? (d/2)2). Measuring the length of my wire proved quite difficult because it was hard to get an accurate reading by eye. Even though the wire was cello taped to a meter rule there was some slackness in the wire proving that there was in fact more than a meter there. I managed to avoid getting the temperature too hot and so increased accuracy and reliability. Improvements. Many of improvements could be put in place if I was to redo this experiment. I would buy a wire, which has the same diameter all the way through. I could also find an improvement to the crocodile clips. Instead of the clips I could use a jockey key. The length of wire which I would be collecting data for would be a lot accurate as jockey key comes into contact with the wire over a small distance compared to the crocodile clips. Further work A possible source for further work is analysing the effect of the cross sectional area of the wire with resistance. Using the equation R=pl/A in the form of Y=mx+c. Plotting R against l/A again I could predict another straight line and the resitivity would be found. This would be the same for nickel Chrome. I could also see if the equations R? l and R? l/A are true for other types of wire. Bibliography Physics by Tom Duncan   Salters Horners advanced Physics Collins advanced modular sciences Show preview only The above preview is unformatted text This student written piece of work is one of many that can be found in our GCSE Electricity and Magnetism section.

Latitudinal Gradient of Species Diversity Essay -- Geography Geology N

Latitudinal Gradient of Species Diversity The latitudinal gradient in species diversity is one of the most striking patterns in the distribution of organisms on the planet. Simply put, the average number of species per unit area increases dramatically the closer the area is to the equator, almost entirely regardless of the type of organism being considered (Pianka, 1994). Researchers investigating the gradient have formulated a wide variety of hypothesis explaining the higher level of species diversity in the tropics. These include but are not limited to: a greater degree of evolution and radiation in tropical species due to the long and relatively stable geological history of the area, seasonal climatic stability and/or predictability, a higher level of productivity, an increased rate of competition and a higher predation intensity (Pianka, 1994). Another theory is that tropical soils somehow influence species diversity and thus cause the latitudinal gradient. This paper will further investigate this final theory by outlini ng the basic characteristics of tropical soils, summarizing the mechanisms invoked to explain species diversity with these soil characteristics, and evaluating how well this research agrees with what is known about tropical soils. For the sake of narrowing the topic somewhat, attention is limited to the soils of and research occurring in Latin America. Tropical Soils In the past, tropical soils have been over-simplified and misunderstood (Sanchez, 1976), and this situation plagued soil science at least until the late seventies (Van Wambeke and Dudal, 1978). Sanchez (1976) attributes this misunderstanding of tropical soils to the fact that when temperate region-trained soil scientists first went to the... ...s richness in Costa Rican forests: Journal of Biogeography, 7, 147-157. Jordan, C.F. and Herrera, R., 1981, Tropical rain forests: are nutrients really critical?: American Naturalist, 117, 167-180. Paoletti, M.G., Taylor, R.A.J., Stinner, B.R., Stinner, D.H., and Benzing, D.H., Diversity of soil fauna in the canopy and forest floor of a Venequelan cloud forest: Journal of Tropical Ecology, 7, 373-383. Pianka, E.R., 1994. Evolutionary Ecology, Fifth Edition: New York, Harper Collins College Publishers, p. 390-396. Sanchez, P., 1976, Properties and Management of Soils in the Tropics: New York, John Wiley and Sons, Chapters 2,3,4, and 5. Van Wambeke, A., and Dudal, R., 1978, Macrovariability of soils of the tropics, p. 13-28 in Stelly, M. (editor-in-chief), Diversity of Soils in the Tropics: Ithaca, Department of Agronomy, Cornell University Press.

Barrier is something Essay

Unit 18 What is barrier? A barrier is something that gets into the way or stops another thing from happening. As we all know, communication is an extreme complex progress. And if one person finds it hard to understand subject or to write or even speak effectively about it, that person cannot be sure that his/her meaning has been received exactly. This loss of meaning which may block communication is often called Barrier. There are 3 main ways in which communication can be blocked: 1. If a person cannot see, hear, or receive the message 2. If a person cannot make sense of the message 3. If a person misunderstands the messages 1. Person cannot see, hear, or receive the message. Visual disability Hearing disability Environmental problems –(noise) Speaking from too far 2. Person cannot make sense of the message. Different language are being used, including sign language People using different terms, such as slang internet or text jargon One of the speakers has physical or intellect disability, such as memory loss or learning Dysfunction. 3. Person misunderstands the message. Cultural difference: different cultures interpret non-verbal and verbal and humour, in different ways Assumptions about people: assumptions about race, gender, disabilities etc. can lead to stereotyping and misunderstanding Emotional Difference, very angry or very happy people may misinterpret what is said think about sarcasm Social contest: conversation and non-verbal messages understood by close friend may not be understand by strangers. Physical barriers A physical barrier to communication Is something in the surrounding that stops the person from communicating with other. For example if the place where the conversation is held may be noisy. Impairmentsvc Some people will haveimpairments that can stop them from communication for example if they are unable to see,hear,or talk. Emotional factors Emotional factor can affect the way we communicate with others for example, lack of support /lack of trust, afraid,feeling happy,feeling sad,low self-estee/ or over/under confident. Different language Some people may not speak the same language as you and therefore you may have difficulty understanding each other Jargon Jargon is when people use technical words. The use of jargon can be confusing for other to understand.

Descriptive Statistics: Tabular and Graphical Presentations

chapter 2 Chapter 2 Descriptive Statistics: Tabular and Graphical Presentations Learning Objectives 1. Learn how to construct and interpret summarization procedures for qualitative data such as : frequency and relative frequency distributions, bar graphs and pie charts. 2. Learn how to construct and interpret tabular summarization procedures for quantitative data such as: frequency and relative frequency distributions, cumulative frequency and cumulative relative frequency distributions. . Learn how to construct a dot plot, a histogram, and an ogive as graphical summaries of quantitative data. 4. Learn how the shape of a data distribution is revealed by a histogram. Learn how to recognize when a data distribution is negatively skewed, symmetric, and positively skewed. 5. Be able to use and interpret the exploratory data analysis technique of a stem-and-leaf display. 6. Learn how to construct and interpret cross tabulations and scatter diagrams of bivariate data.Solutions: 1. |Class | Frequency |Relative Frequency | |A |60 |60/120 = 0. 50 | |B | 24 |24/120 = 0. 20 | |C | 36 |36/120 = 0. 30 | | |120 | 1. 00 | 2. a. 1 – (. 22 + . 18 + . 40) = . 20 b.. 20(200) = 40 c/d. Class |Frequency |Percent Frequency | |A |. 22(200) = 44 | 22 | |B |. 18(200) = 36 | 18 | |C |. 40(200) = 80 | 40 | |D |. 20(200) = 40 | 20 | |Total |200 |100 | 3. a. 360 ° x 58/120 = 174 ° b. 360 ° x 42/120 = 126 ° c. [pic] d. [pic] 4. a. The data are qualitative. b. | |Percent Frequency | |Newspaper |Frequency | | |Liberty Times |24 |48 | |China Times |15 |30 | |United Daily News |7 |14 | |Apple Daily |4 |8 | |Total: |50 |100 | c. [pic] [pic] d. Liberty Times has the largest market share.China Times is second. 5. a. |Name |Frequency |Relative Frequency |Percent Frequency | |Chan |10 |. 200 |20. 0% | |Chang |7 |. 140 |14. 0% | |Lee |8 |. 160 |16. 0% | |Liu |7 |. 140 |14. 0% | |Wang |12 |. 240 |24. % | |Young |6 |. 120 |12. 0% | | |50 |1. 000 |100. 0% | b. [pic] c. Chan. 200 x 360 = 72 . 0( Chang. 140 x 360 = 50. 4( Lee. 160 x 360 = 58. 6( Liu. 140 x 360 = 50. 4( Wang. 240 x 360 = 86. 4( Young. 120 x 360 = 43. 2( [pic] d. Most common: Wang, Chan, and Lee 6. a. |Book |Frequency |Percent Frequency | |7 Habits |10 | |16. 6 | | |Millionaire |16 | |26. 67 | | |Motley |9 | |15. 00 | | |Dad |13 | |21. 67 | | |WSJ Guide |6 | |10. 00 | | |Other |6 | |10. 00 | | |Total: |60 | |100. 00 | |The Ernst & Young Tax Guide 2000 with a frequency of 3, Investing for Dummies with a frequency of 2, and What Color is Your Parachute? 2000 with a frequency of 1 are grouped in the â€Å"Other† category. b. The rank order from first to fifth is: Millionaire, Dad, 7 Habits, Motley, and WSJ Guide. c. The percent of sales represented by The Millionaire Next Door and Rich Dad, Poor Dad is 48. 33%. 7. |Rating |Frequency |Relative Frequency | |Outstanding |19 |0. 8 | |Very Good |13 |0. 26 | |Good |10 |0. 20 | |Average | 6 |0. 12 | |Poor | 2 |0. 04 | | |50 |1. 00 | Management should be plea sed with these results. 64% of the ratings are very good to outstanding. 84% of the ratings are good or better.Comparing these ratings with previous results will show whether or not the restaurant is making improvements in its ratings of food quality. 8. a. |Position |Frequency |Relative Frequency | |Pitcher |17 |0. 309 | |Catcher | 4 |0. 073 | |1st Base | 5 |0. 091 | |2nd Base | 4 |0. 073 | |3rd Base | 2 |0. 36 | |Shortstop | 5 |0. 091 | |Left Field | 6 |0. 109 | |Center Field | 5 |0. 091 | |Right Field | 7 |0. 127 | | |55 |1. 000 | b. Pitchers (Almost 31%) c. 3rd Base (3 – 4%) d. Right Field (Almost 13%) e. Infielders (16 or 29. 1%) to Outfielders (18 or 32. 7%) 9. a/b. Starting Time | Frequency |Percent Frequency | |7:00 |3 | |15 | | |7:30 |4 | |20 | | |8:00 |4 | |20 | | |8:30 |7 | |35 | | |9:00 |2 | |10 | | | |20 | |100 | | c. Bar Graph [pic] d. [pic] . The most preferred starting time is 8:30 a. m.. Starting times of 7:30 and 8:00 a. m. are next. 10. a. The data refer to quality levels from 1 â€Å"Not at all Satisfied† to 7 â€Å"Extremely Satisfied. † b. |Rating |Frequency |Relative Frequency | |3 |2 | 0. 03 | |4 |4 | 0. 07 | |5 |12 | 0. 20 | |6 |24 | 0. 40 | |7 |18 | 0. 0 | | |60 | 1. 00 | c. Bar Graph [pic] d. The survey data indicate a high quality of service by the financial consultant. The most common ratings are 6 and 7 (70%) where 7 is extremely satisfied. Only 2 ratings are below the middle scale value of 4. There are no â€Å"Not at all Satisfied† ratings. 11. |Class |Frequency |Relative Frequency |Percent Frequency | | | | | | |12-14 |2 |0. 50 |5. 0 | |15-17 | 8 |0. 200 | 20. 0 | |18-20 |11 |0. 275 | 27. 5 | |21-23 |10 |0. 250 | 25. 5 | |24-26 | 9 |0. 225 | 22. 5 | |Total |40 |1. 000 |100. | 12. |Class |Cumulative Frequency |Cumulative Relative Frequency | |less than or equal to 19 |10 | . 20 | |less than or equal to 29 |24 | . 48 | |less than or equal to 39 |41 | . 82 | |less than or equal to 49 |48 | . 6 | |less t han or equal to 59 |50 |1. 00 | 13. [pic] [pic] 14. a. [pic] b/c. |Class |Frequency |Percent Frequency | | 6. 0 – 7. 9 |4 | 20 | | 8. 0 – 9. 9 | 2 | 10 | |10. 0 – 11. 9 | 8 | 40 | |12. 0 – 13. 9 | 3 | 15 | |14. 0 – 15. | 3 | 15 | | |20 |100 | 15. a/b. |Waiting Time |Frequency |Relative Frequency | |0 – 4 |4 |0. 20 | |5 – 9 | 8 |0. 40 | |10 – 14 | 5 |0. 25 | |15 – 19 | 2 |0. 10 | |20 – 24 | 1 |0. 5 | |Totals |20 |1. 00 | c/d. |Waiting Time |Cumulative Frequency |Cumulative Relative Frequency | |Less than or equal to 4 |4 |0. 20 | |Less than or equal to 9 |12 |0. 60 | |Less than or equal to 14 |17 |0. 5 | |Less than or equal to 19 |19 |0. 95 | |Less than or equal to 24 |20 |1. 00 | e. 12/20 = 0. 60 16. a. The histogram is shown below. [pic] The histogram clearly shows that the annual household incomes are skewed to the right. And, of course, if annual household incomes are skewed to the right, so are annual incomes. This makes sense because the vast majority of annual incomes are less than NT$1,000,000.But, there are a few individuals with very large incomes. b. The histogram for the age is given. [pic] The histogram shows that the distribution of age is skewed to the left. This is to be expected. It is our experience that there are frequently a few very low ages causing such a pattern to appear. c. The histogram for the data in Exercise 11 is given. d. [pic] e. This histogram is skewed to the left slightly, but we would probably classify it as roughly symmetric. 17. a. |Amount (NT$ ‘000) |Frequency |Relative Frequency | |Less than 56 |3 |. 2 | |56-75 |5 |. 20 | |76-95 |11 |. 44 | |96-115 |4 |. 16 | |116-135 |1 |. 04 | |136 and more | 1 |. 04 | | |25 |1. 00 | b. Histogram [pic] The distribution has a roughly symmetric shape. c.The largest group spends NT$76-NT$95 per year on books and magazines. There are more in the NT$56 to NT$75 range than in the NT$96 to NT$115 range. 18. a. Lowest s alary: NT$29,300 Highest salary: NT$37,800 b. |Salary (NT$100s) |Frequency |Relative |Percent Frequency | | | |Frequency | | |293-307 |4 |0. 09 |9 | |308-322 |5 |0. 11 |11 | |323-337 |9 |0. 0 |20 | |338-352 |17 |0. 38 |38 | |353-367 |7 |0. 16 |16 | |368-382 |3 |0. 07 |7 | |Total |45 |1. 00 |100 | c. Proportion NT$33,700 or less: 18/45. d. Percentage more than NT$35,200: 10/45 [pic] e. The distribution is skewed slightly to the left, but is roughly symmetric. 19. a/b. Number |Frequency |Relative Frequency | |140 – 149 | 2 |0. 10 | |150 – 159 | 7 |0. 35 | |160 – 169 | 3 |0. 15 | |170 – 179 | 6 |0. 30 | |180 – 189 | 1 |0. 05 | |190 – 199 | 1 |0. 05 | |Totals |20 |1. 0 | c/d. |Number |Cumulative Frequency |Cumulative Relative Frequency | |Less than or equal to 149 | 2 |0. 10 | |Less than or equal to 159 | 9 |0. 45 | |Less than or equal to 169 |12 |0. 60 | |Less than or equal to 179 |18 |0. 0 | |Less than or equal to 189 |19 |0. 95 | |Less than o r equal to 199 |20 |1. 00 | e. [pic] 20. a. The percentage of people 39 or less is 12. 2 + 14. 2 + 17. 1 + 16. 2 = 59. 7. b. The percentage of the population over 39 years old is 16. 3 + 10. 9 + 6. 7 + 4. 7 + 1. 7 = 40. 3 c. The percentage of the population that is between 20 and 59 years old inclusively is 17. 1 + 16. 2 + 16. 3 + 10. = 60. 5 d. The percentage less than 30 years old is 12. 2 + 14. 2 + 17. 1 = 43. 5. So there are (. 435) (22,689,122) = 9,869,768. 07 people less than 30 years old. e. An estimate of the number of retired people is (. 047 + . 017) (22,689,122) = 1,452,103. 81 21. a/b. |Computer Usage | |Relative Frequency | |(Hours) |Frequency | | |0. 0 |- |2. 9 |5 |0. 10 | |3. 0 |- |5. 9 |28 |0. 56 | |6. 0 |- |8. |8 |0. 16 | |9. 0 |- |11. 9 |6 |0. 12 | |12. 0 |- |14. 9 |3 |0. 06 | | |Total |50 |1. 00 | c. [pic] d. [pic] e. The majority of the computer users are in the 3 to 6 hour range. Usage is somewhat skewed toward the right with 3 users in the 12 to 15 hour range. 22. |5 |7 8 | |6 |4 5 8 | |7 |0 2 2 5 5 6 8 | 8 |0 2 3 5 | 23. Leaf Unit = 0. 1 |6 |3 | |7 |5 5 7 | |8 |1 3 4 8 | |9 |3 6 | |10 |0 4 5 | |11 |3 | 24. Leaf Unit = 10 |11 |6 | |12 |0 2 | |13 |0 6 7 | |14 |2 2 7 | |15 |5 | |16 |0 2 8 | 17 |0 2 3 | 25. | 9 |8 9 | |10 |2 4 6 6 | |11 |4 5 7 8 8 9 | |12 |2 4 5 7 | |13 |1 2 | |14 |4 | |15 |1 | 26. a. 100 shares at $50 per share |1 |0 3 7 7 | |2 |4 5 5 | |3 |0 0 5 5 9 | |4 |0 0 0 5 5 8 | |5 |0 0 0 4 5 5 |This stem-and-leaf display shows that the trading prices are closely grouped together. Rotating the stem-and-leaf display counter clockwise shows a histogram that is slightly skewed to the left but is roughly symmetric. b. 500 shares traded online at $50 per share. |0 |5 7 | |1 |0 1 1 3 4 | |1 |5 5 5 8 | |2 |0 0 0 0 0 0 | |2 |5 5 | |3 |0 0 0 | |3 |6 | 4 | | |4 | | |5 | | |5 | | |6 |3 | This stretched stem-and-leaf display shows that the distribution of online trading prices for most of the brokers for 500 shares are lower than the trading pr ices for broker assisted trades of 100 shares. There are a couple of outliers. York Securities charges $36 for an online trade and Investors National charges much more than the other brokers: $62. 50 for an online trade. 27. 4 |1 3 6 6 7 | |5 |0 0 3 8 9 | |6 |0 1 1 4 4 5 7 7 9 | |7 |0 0 0 1 3 4 4 5 5 6 6 6 7 8 8 | |8 |0 1 1 3 4 4 5 7 7 8 9 | |9 |0 2 2 7 | or |4 |1 3 | |4 |6 6 7 | |5 |0 0 3 | |5 |8 9 | 6 |0 1 1 4 4 | |6 |5 7 7 9 9 | |7 |0 0 0 1 3 4 4 | |7 |5 5 6 6 6 7 8 8 | |8 |0 1 1 3 4 4 | |8 |5 7 7 8 9 | |9 |0 2 2 | |9 |7 | 28. a. |0 |5 8 | |1 |1 1 3 3 4 4 | |1 |5 6 7 8 9 9 | |2 |2 3 3 3 5 5 | |2 |6 8 | |3 | | 3 |6 7 7 9 | |4 |0 | |4 |7 8 | |5 | | |5 | | |6 |0 | b. |2000 P/E Forecast | |Percent Frequency | | |Frequency | | |5 – 9 |2 |6. 7 | | |10 – 14 |6 |20. 0 | | |15 – 19 |6 |20. 0 | | |20 – 24 |6 |20. | | |25 – 29 |2 |6. 7 | | |30 – 34 |0 |0. 0 | | |35 – 39 |4 |13. 3 | | |40 – 44 |1 |3. 3 | | |45 – 49 |2 |6. 7 | | | 50 – 54 |0 |0. 0 | | |55 – 59 |0 |0. 0 | | |60 – 64 |1 |3. 3 | | |Total |30 |100. 0 | | 29. a. [pic] b. [pic] c. [pic] d.Category A values for x are always associated with category 1 values for y. Category B values for x are usually associated with category 1 values for y. Category C values for x are usually associated with category 2 values for y. 30. a. [pic] b. There is a negative relationship between x and y; y decreases as x increases. 31. a. Row Percentages: | |Household Income (NT$ ‘000) | | |Age |Under 999 |1,000-1,499 |1,500-1,999 |2,000-2,499 |2,500-2,999 |3,000 or more |Total | |Under 34 |27. 6 |30. 54 |21. 01 |12. 99 |4. 93 |2. 76 |100. 00 | |35-44 |20. 90 |31. 32 |21. 49 |10. 48 |8. 79 |7. 03 |100. 00 | |45-54 |16. 00 |29. 17 |19. 24 |19. 87 |6. 83 |8. 88 |100. 00 | |55-64 |23. 73 |19. 26 |20. 01 |14. 46 |8. 81 |13. 73 |100. 00 | |65 or more |70. 57 |18. 37 |4. 42 |2. 4 |0. 74 |2. 96 |100. 00 | |Total |27. 70 |27. 32 |18. 27 |13. 05 |6. 51 |7. 15 |100. 00 | There are seven percent frequency distributions in this table with row percentages. The first six give the percent frequency distribution of income for each age level. The total row provides an overall percent frequency distribution for household income. Both of the two rows (age 35-44 and age 55- 64) have more percentage in the cells and descended in order of larger income.The second row is the percent frequency distribution for households headed by age 35-44. The fourth row is the percent frequency distribution for households headed by age 55-64. b. The percentage of heads of households by age 35-44 earning NT$2,500,000 or more is 8. 79% + 7. 03% = 15. 82%. The percentage of heads of households by age 55-64 earning $75,000 or more is 8. 81% + 13. 73% = 22. 54%. c. The percent frequency histograms are shown below. [pic] No. The histogram can not tell us any relationship between household income and age. 32. a. Column Percentages: |Household Income ($1000s) | | |Educa tion Level |Under 24. 9 |25. 0-49. 9 |50. 0-74. 9 |75. 0-99. 9 |100 or More |Total | |Not H. S. Graduate |32. 70 |14. 82 |8. 27 |5. 02 |2. 53 |15. 86 | |H. S. Graduate |35. 74 |35. 56 |31. 48 |25. 39 |14. 47 |30. 78 | |Some College |21. 17 |29. 77 |30. 25 |29. 2 |22. 26 |26. 37 | |Bachelor's Degree |7. 53 |14. 43 |20. 56 |25. 03 |33. 88 |17. 52 | |Beyond Bach. Deg. |2. 86 |5. 42 |9. 44 |14. 74 |26. 86 |9. 48 | |Total |100. 00 |100. 00 |100. 00 |100. 00 |100. 00 |100. 00 | There are six percent frequency distributions in this table of column percentages. The first five columns give the percent frequency distributions for each income level.The percent frequency distribution in the â€Å"Total† column gives the overall percent frequency distributions for educational level. From that percent frequency distribution we see that 15. 86% of the heads of households did not graduate from high school. b. The column percentages show that 26. 86% of households earning over $100,000 were h eaded by persons having schooling beyond a bachelor's degree. The row percentages show that 39. 72% of the households headed by persons with schooling beyond a bachelor's degree earned $100,000 or more. These percentages are different because they came from different percent frequency distributions. c.Compare the â€Å"under 24. 9† percent frequency distributions to the â€Å"Total† percent frequency distributions. We see that for this low income level the percentage with lower levels of education is lower than for the overall population and the percentage with higher levels of education is higher than for the overall population. Compare the â€Å"100 or more† percent frequency distribution to â€Å"Total† percent frequency distribution. We see that for this high income level the percentage with lower levels of education is lower than for the overall population and the percentage with higher levels of education is higher than for the overall population.Fr om the comparisons here it is clear that there is a positive relationship between household incomes and the education level of the head of the household. 33. a. The crosstabulation of condition of the greens by gender is below. | |Green Condition | | |Gender |Too Fast |Fine |Total | |Male |35 | 65 |100 | |Female |40 | 60 |100 | |Total |75 |125 |200 |The female golfers have the highest percentage saying the greens are too fast: 40%. b. 10% of the women think the greens are too fast. 20% of the men think the greens are too fast. So, for the low handicappers, the men have a higher percentage who think the greens are too fast. c. 43% of the woman think the greens are too fast. 50% of the men think the greens are too fast. So, for the high handicappers, the men have a higher percentage who think the greens are too fast. . This is an example of Simpson's Paradox. At each handicap level a smaller percentage of the women think the greens are too fast. But, when the crosstabulations are aggr egated, the result is reversed and we find a higher percentage of women who think the greens are too fast. The hidden variable explaining the reversal is handicap level. Fewer people with low handicaps think the greens are too fast, and there are more men with low handicaps than women. 34. a. | |EPS Rating | | | |Sales/Margins/ROE |0-19 |20-39 |40-59 |60-79 |80-100 |Total | |A | | | |1 |8 |9 | |B | |1 |4 |5 |2 |12 | |C |1 | |1 |2 |3 |7 | |D |3 |1 | |1 | |5 | |E | |2 |1 | | |3 | |Total |4 |4 |6 |9 |13 |36 | b. | | |EPS Rating | | | |Sales/Margins/ROE |0-19 |20-39 |40-59 |60-79 |80-100 |Total | |A | | | |11. 11 |88. 89 |100 | |B | |8. 33 |33. 33 |41. 67 |16. 67 100 | |C |14. 29 | |14. 29 |28. 57 |42. 86 |100 | |D |60. 00 |20. 00 | |20. 00 | |100 | |E | |66. 67 |33. 33 | | |100 | Higher EPS ratings seem to be associated with higher ratings on Sales/Margins/ROE. Of those companies with an â€Å"A† rating on Sales/Margins/ROE, 88. 89% of them had an EPS Rating of 80 or higher. Of the 8 companies with a â€Å"D† or â€Å"E† rating on Sales/Margins/ROE, only 1 had an EPS rating above 60. 35. a. | |Industry Group Relative Strength | | | |Sales/Margins/ROE |A |B |C |D |E |Total | |A |1 |2 |2 |4 | |9 | |B |1 |5 |2 |3 |1 |12 | |C |1 |3 | |2 |1 |7 | |D |1 | |1 |1 |2 |5 | |E | |1 |2 | | |3 | |Total |4 |11 |7 |10 |4 |36 | | | | | | | | | b/c. The frequency distributions for the Sales/Margins/ROE data is in the rightmost column of the crosstabulation.The frequency distribution for the Industry Group Relative Strength data is in the bottom row of the crosstabulation. d. Once the crosstabulation is complete, the individual frequency distributions are available in the margins. 36. a. [pic] b. One might expect stocks with higher EPS ratings to show greater relative price strength. However, the scatter diagram using this data does not support such a relationship. The scatter diagram appears similar to the one showing â€Å"No Apparent Relationship† in the text. 37. a. The crosstabulation is shown below: | |Speed |   | |Position |4-4. 49 |4. 5-4. 99 |5-5. 49 |5. 5-5. 9 |Grand Total | |Guard | | |12 |1 |13 | |Offensive tackle | |2 |7 |3 |12 | |Wide receiver |6 |9 | | |15 | |Grand Total |6 |11 |19 |4 |40 | b. There appears to be a relationship between Position and Speed; wide receivers had faster speeds than offensive tackles and guards. c. The scatter diagram is shown below: [pic] d. There appears to be a relationship between Speed and Rating; slower speeds appear to be associated with lower ratings. In other words,, prospects with faster speeds tend to be rated higher than prospects with slower speeds. 38. a. |Vehicle |Frequency |Percent Frequency | F-Series |17 |34 | |Silverado |12 |24 | |Taurus |8 |16 | |Camry |7 |14 | |Accord |6 |12 | |Total |50 |100 | b. The two top selling vehicles are the Ford F-Series Pickup and the Chevrolet Silverado. c. 39. a/b. |Industry |Frequency |Percent Frequency | |Beverage |2 |10 | |Chemicals | 3 | 15 | |Electronics | 6 | 30 | |Food | 7 | 35 | |Aerospace | 2 | 10 | |Totals: |20 |100 | . 40. a. Response |Frequency |Percent Frequency | |Accuracy |16 |16 | |Approach Shots |3 |3 | |Mental Approach |17 |17 | |Power |8 |8 | |Practice |15 |15 | |Putting |10 |10 | |Short Game |24 |24 | |Strategic Decisions | 7 | 7 | |Total |100 |100 | b. Poor short game, poor mental approach, lack of accuracy, and limited practice. 41. a/b/c/d. Book Value | |Relative Frequency |Cumulative Frequency |Cumulative | |per Share |Frequency | | |Relative Frequency | |0. 00-5. 99 | 3 |0. 10 | 3 |0. 10 | |6. 00-11. 99 | 15 |0. 50 |18 |0. 60 | |12. 00-17. 99 | 9 |0. 30 |27 |0. 90 | |18. 00-23. 99 | 2 |0. 07 |29 |0. 97 | |24. 00-29. 99 | 0 |0. 00 |29 |0. 7 | |30. 00-35. 99 | 1 |0. 03 |30 |1. 00 | |Total |30 |1. 00 | | | e. The histogram shown below shows that the distribution of most of the book values is roughly symmetric. However, there is one outlier (General Motors). 42. a. |Closing Price |Frequency |Rel ative Frequency | |0 – 9 7/8 |9 |0. 225 | |10 – 19 7/8 |10 |0. 250 | |20 – 29 7/8 | 5 |0. 25 | |30 – 39 7/8 |11 |0. 275 | |40 – 49 7/8 | 2 |0. 050 | |50 – 59 7/8 | 2 |0. 050 | |60 – 69 7/8 | 0 |0. 000 | |70 – 79 7/8 | 1 |0. 025 | |Totals |40 |1. 000 | b. |Closing Price |Cumulative Frequency |Cumulative Relative Frequency | |Less than or equal to 9 7/8 |9 |0. 25 | |Less than or equal to 19 7/8 |19 |0. 475 | |Less than or equal to 29 7/8 |24 |0. 600 | |Less than or equal to 39 7/8 |35 |0. 875 | |Less than or equal to 49 7/8 |37 |0. 925 | |Less than or equal to 59 7/8 |39 |0. 975 | |Less than or equal to 69 7/8 |39 |0. 75 | |Less than or equal to 79 7/8 |40 |1. 000 | c. [pic] d. Over 87% of common stocks trade for less than $40 a share and 60% trade for less than $30 per share. 43. a. | | |Relative Frequency | |Exchange |Frequency | | |American |3 |0. 15 | |New York |2 |0. 10 | |Over the Counter |15 |0. 75 | | |20 |1. 00 | b. Earn ings Per Share | |Relative Frequency | | |Frequency | | |0. 00 – 0. 19 |7 |0. 35 | |0. 20 – 0. 39 |7 |0. 35 | |0. 40 – 0. 59 |1 |0. 05 | |0. 60 – 0. 79 |3 |0. 15 | |0. 80 – 0. 99 |2 |0. 10 | | |20 |1. 00 | Seventy percent of the shadow stocks have earnings per share less than $0. 40. It looks like low EPS should be expected for shadow stocks. | | | |Price-Earning Ratio | |Relative Frequency | | |Frequency | | |0. 00 – 9. 9 |3 |0. 15 | |10. 0 – 19. 9 |7 |0. 35 | |20. 0 – 29. 9 |4 |0. 20 | |30. 0 – 39. 9 |3 |0. 15 | |40. 0 – 49. 9 |2 |0. 10 | |50. 0 – 59. 9 |1 |0. 05 | | |20 |1. 00 |P-E Ratios vary considerably, but there is a significant cluster in the 10 – 19. 9 range. 44. | | |Relative Frequency | |Income ($) |Frequency | | |18,000-21,999 |13 |0. 255 | |22,000-25,999 |20 |0. 392 | |26,000-29,999 |12 |0. 235 | |30,000-33,999 |4 |0. 078 | |34,000-37,999 |2 |0. 039 | |Total |51 |1. 000 | 45. a. 0 |8 9 | |1 |0 2 2 2 3 4 4 4 | |1 |5 5 6 6 6 6 7 7 8 8 8 8 9 9 9 | |2 |0 1 2 2 2 3 4 4 4 | |2 |5 6 8 | |3 |0 1 3 | b/c/d. |Number Answered Correctly | |Relative Frequency |Cumulative Frequency | | |Frequency | | | |5 – 9 |2 |0. 50 |2 | |10 – 14 | 8 |0. 200 |10 | |15 – 19 |15 |0. 375 |25 | |20 – 24 | 9 |0. 225 |34 | |25 – 29 | 3 |0. 075 |37 | |30 – 34 | 3 |0. 075 |40 | |Totals |40 |1. 000 | | e. Relatively few of the students (25%) were able to answer 1/2 or more of the questions correctly.The data seem to support the Joint Council on Economic Education’s claim. However, the degree of difficulty of the questions needs to be taken into account before reaching a final conclusion. 46. a/b. [pic] c. It is clear that the range of low temperatures is below the range of high temperatures. Looking at the stem-and-leaf displays side by side, it appears that the range of low temperatures is about 20 degrees below the range of high temperatures. d. There are two stems showing high temperatures of 80 degrees or higher. They show 8 cities with high temperatures of 80 degrees or higher. e. Frequency |Temperature |High Temp. |Low. Temp. |30-39 |0 |1 | |40-49 |0 |3 | |50-59 |1 |10 | |60-69 |7 |2 | |70-79 |4 |4 | |80-89 |5 |0 | |90-99 |3 |0 | |Total |20 |20 | 47. a. b. There is clearly a positive relationship between high and low temperature for cities. As one goes up so does the other. 48. a. | |Satisfaction Score | | | |Occupation |30-39 |40-49 |50-59 |60-69 |70-79 |80-89 |Total | |Cabinetmaker | | |2 |4 |3 |1 |10 | |Lawyer |1 |5 |2 |1 |1 | |10 | |Physical Therapist | | |5 |2 |1 |2 |10 | |Systems Analyst | |2 |1 |4 |3 | |10 | |Total |1 |7 |10 |11 |8 |3 |40 | b. | | |Satisfaction Score | | | |Occupation |30-39 |40-49 |50-59 |60-69 |70-79 |80-89 |Total | |Cabinetmaker | | |20 |40 |30 |10 |100 | |Lawyer |10 |50 |20 |10 |10 | |100 | |Physical Therapist | | |50 |20 |10 |20 |100 | Systems Analyst | |20 |10 |40 |30 | |100 | c. Each row o f the percent crosstabulation shows a percent frequency distribution for an occupation. Cabinet makers seem to have the higher job satisfaction scores while lawyers seem to have the lowest. Fifty percent of the physical therapists have mediocre scores but the rest are rather high. 49. a. [pic]b. There appears to be a positive relationship between number of employees and revenue. As the number of employees increases, annual revenue increases. 50. a. | | |Fuel Type | | | |Year Constructed |Elec |Nat.Gas |Oil |Propane |Other |Total | |1973 or before | 40 |183 |12 |5 | 7 |247 | |1974-1979 | 24 | 26 | 2 |2 | 0 | 54 | |1980-1986 | 37 | 38 | 1 |0 | 6 | 82 | |1987-1991 | 48 | 70 | 2 |0 | 1 |121 | |Total |149 |317 |17 |7 |14 |504 | b. |Year Constructed |Frequency |Fuel Type |Frequency | |1973 or before |247 | Electricity |149 | |1974-1979 | 54 | Nat.Gas |317 | |1980-1986 | 82 | Oil | 17 | |1987-1991 |121 | Propane | 7 | |Total |504 | Other | 14 | | | |Total |504 | c. Crosstabulation of Colum n Percentages | | |Fuel Type | | |Year Constructed |Elec |Nat. Gas |Oil |Propane |Other | |1973 or before | 26. 9 | 57. 7 | 70. 5 | 71. 4 | 50. 0 | |1974-1979 | 16. 1 | 8. 2 | 11. 8 | 28. 6 | 0. 0 | |1980-1986 | 24. 8 | 12. 0 | 5. 9 | 0. 0 | 42. 9 | |1987-1991 | 32. 2 | 22. 1 | 11. 8 | 0. 0 | 7. 1 | |Total |100. 0 |100. 0 |100. 0 |100. 0 |100. 0 | d. Crosstabulation of row percentages. | |Fuel Type | | | |Year Constructed |Elec |Nat. Gas |Oil |Propane |Other |Total | |1973 or before |16. 2 |74. 1 |4. 9 |2. 0 |2. 8 |100. 0 | |1974-1979 |44. 5 |48. 1 |3. 7 |3. 7 |0. 0 |100. 0 | |1980-1986 |45. 1 |46. 4 |1. 2 |0. 0 |7. 3 |100. 0 | |1987-1991 |39. 7 |57. 8 |1. 7 |0. 0 |0. 8 |100. 0 | e. Observations from the column percentages crosstabulation For those buildings using electricity, the percentage has not changed greatly over the years.For the buildings using natural gas, the majority were constructed in 1973 or before; the second largest percentage was constructed in 1987-1991. Most of t he buildings using oil were constructed in 1973 or before. All of the buildings using propane are older. Observations from the row percentages crosstabulation Most of the buildings in the CG&E service area use electricity or natural gas. In the period 1973 or before most used natural gas. From 1974-1986, it is fairly evenly divided between electricity and natural gas. Since 1987 almost all new buildings are using electricity or natural gas with natural gas being the clear leader. 51. a. Crosstabulation for stockholder's equity and profit. | |Profits ($000) | | | |Stockholders' Equity ($000) |0-200 |200-400 |400-600 |600-800 |800-1000 |1000-1200 |Total | |0-1200 |10 |1 | | | |1 |12 | |1200-2400 |4 |10 | | |2 | |16 | |2400-3600 |4 |3 |3 |1 |1 |1 |13 | |3600-4800 | | | | |1 |2 |3 | |4800-6000 | |2 |3 |1 | | |6 | |Total |18 |16 |6 |2 |4 |4 |50 | b. Crosstabulation of Row Percentages. | | |Profits ($000) | | | |Stockholders' Equity ($1000s) |0-200 |200-400 |400-600 |600-800 |800-1000 |10 00-1200 |Total | |0-1200 |83. 33 |8. 33 |0. 00 |0. 00 |0. 00 |8. 33 |100 | |1200-2400 |25. 00 |62. 50 |0. 00 |0. 00 |12. 50 |0. 0 |100 | |2400-3600 |30. 77 |23. 08 |23. 08 |7. 69 |7. 69 |7. 69 |100 | |3600-4800 | |0. 00 |0. 00 |0. 00 |33. 33 |66. 67 |100 | |4800-6000 |0. 00 |33. 33 |50. 00 |16. 67 |0. 00 |0. 00 |100 | c. Stockholder's equity and profit seem to be related. As profit goes up, stockholder's equity goes up. The relationship, however, is not very strong. 52. a. Crosstabulation of market value and profit. | |Profit ($1000s) | | | |Market Value ($1000s) |0-300 |300-600 |600-900 |900-1200 |Total | |0-8000 |23 |4 | | |27 | |8000-16000 |4 |4 |2 |2 |12 | |16000-24000 | |2 |1 |1 |4 | |24000-32000 | |1 |2 |1 |4 | |32000-40000 | |2 |1 | |3 | |Total |27 |13 |6 |4 |50 | b. Crosstabulation of Row Percentages. | | |Profit ($1000s) | | | |Market Value ($1000s) |0-300 |300-600 |600-900 |900-1200 |Total | |0-8000 |85. 19 |14. 81 |0. 00 |0. 00 |100 | |8000-16000 |33. 33 |33. 33 |16. 67 | 16. 67 |100 | |16000-24000 |0. 00 |50. 00 |25. 00 |25. 0 |100 | |24000-32000 |0. 00 |25. 00 |50. 00 |25. 00 |100 | |32000-40000 |0. 00 |66. 67 |33. 33 |0. 00 |100 | c. There appears to be a positive relationship between Profit and Market Value. As profit goes up, Market Value goes up. 53. a. Scatter diagram of Profit vs. Stockholder's Equity. [pic] b. Profit and Stockholder's Equity appear to be positively related. 54. a. Scatter diagram of Market Value and Stockholder's Equity. [pic] b. There is a positive relationship between Market Value and Stockholder's Equity. ———————– [pic] [pic] [pic]

The Career Criminal Essays - Criminology, Criminal Law, Crime

The Career Criminal Essays - Criminology, Criminal Law, Crime The career criminal The career criminal, or, more pointedly, those individuals who participate in criminal acts on a regular basis for both a central and constant source of income has, generally, a specific set of identifying factors which, while conclusive in laymen's terms, fail to meet the criteria necessary for scientific inquiry. While definitions exist as to what a career criminal is, the research methods employed in determining these definitions are a large point of contention for criminal justice theorists, especially due to their potential and virtually imminent inclusion to modern hypothesis on the subject. These research methods include longitudinal data collection and compilation, cross-sectional data collection and compilation, and, as at least one group of theorists argue, the most efficient method, informative interviewing. The longitudinal research method employs a data collection technique which focuses on the duration of a particular actin this case, the so-called criminal careerbased not upon specific incidents, but the length of time measured between such acts (Blumstein, Cohen, and Farrington, 1988). That is, an individual's propensity for criminal conduct in a so-called career mode would be measured first by the original act as an origin, then with the succeeding acts, until a final point became evident. Therefore, such a research method would logically conclude that an individual who performed or participated in criminal conduct on two occasions several years apart would be considered a career criminal. It is for this reason, that criminal justice theorists differ as to the applicability and relevance of the longitudinal research method (Blumstein, Cohen, and Farrington, 1988). Since the longitudinal research method could construe two independentor even two interdependantcriminal acts as the foundational make-up of a career criminal, theorists may hypothesize incorrectly as to the actuality of an individual having a career based in criminal behavior. Because it is widely believed by opponents of the longitudinal research method that the mere occurrence of two criminal acts spaced out over an individual's lifetime or testing window is not indicative of the so-called career criminal modus operandi, the research method has increasingly lost its popularity and application in such studies, unless, of course, it is supported or otherwise confirmed by other utilized research procedures (Blumstein, Cohen, and Farrington, 1988). One of these alternative testing and research methods is the cross-sectional data collection and compilation model. The cross-sectional data collection and compilation model, when applied to the criminal career hypothezation, measures the probability of occurrence of a particular act of criminal conduct or other so-called criminal behavior. The cross-sectional model allows for a glimpse into each individual criminal act which may be thought to, when compiled, comprise a framework which indicates that individual is a career criminal. For this reason, the cross-sectional model is infinitely more applicable and accurate in determining, or at least providing indicators which would lead to a determination, of conduct constituting that of a career criminal. While such assistance is immeasurable for a determination of whether or not an individual is a career criminal, it still falls short of a definite model for such identification. For this reason, many criminal justice theorists feel that the individual application of the cross-sectional model is inappropriate for its unsupported inclusion into relevant scientific hypothesis. Once again, however, when such data is adequately supported or otherwise confirmed by other information, inclusion is proper. Criminal justice theorists have relied on either one, or both models since the inception of investigation into all areas of criminal behavior. Such data, however, comes under fire if, and when, other theories surface which either provide additional information, or information which is more in-depth and in deference to that data already obtained and reported upon (Gottfredson and Hirschi, 1988). The dilemma, of course, is that regardless of how detailed and in-depth even the most comprehensive of testing techniques are, there is always one method which is the most detailed, as it originates from the primary source. This data is called informative interviewing (Gottfredson and Hirschi, 1988). Informative interviewing is a method through which criminal justice theorists acquire information from the primary source (Gottfredson and Hirschi, 1988). In the case of the present issue, deliberating over the question of what behavior is indicative of a career criminal, information would most probably be

Custom Component Development in Delphi

Custom Component Development in Delphi Components are essential elements of the Delphi environment. One of the most important features of Delphi is that we can use Delphi to create our own components. We can derive a new component from any existing component, but the following are the most common ways to create components: modifying existing controls, creating windowed controls, creating graphic controls, subclassing Windows controls and creating nonvisual components. Visual or not, with or without property editor, from scratch...you name it. Developing Delphi components isnt a simple task, it involves quite a bit of knowledge of the VCL. However, developing custom components is not an impossible task; writing components is just pure programming. Articles, Papers, Tutorials What follows is a list of articles that deal with custom component development in Delphi. Accessing protected members of a componentMany Delphi components have useful properties and methods that are marked invisible (protected) to a Delphi developer. In this article, you will find the workaround to this problem - thus enabling you to access a DBGrids RowHeights property, for example.Creating Custom Delphi Components - Inside and OutThis tutorial will explain component writing to you, which should result in more code reuse. It will go over properties, events, and methods, and will also explain how to install components. The final part of this tutorial is about Object-Oriented design.Creating Custom Delphi Components, Part IThis first part demonstrates some of the best approaches to building components, and at the same time provides tips on deciding on the best base class to inherit from, using virtual declarations, the complexities of overriding, and so on.Creating Custom Delphi Components, Part IIQuite often it is necessary to write components that perform more advanced f unctions. These components often need to either reference other components, have custom property data formats, or have a property that owns a list of values rather than a single value. We will explore various examples covering these very subjects, starting with the most simple. Creating Custom Delphi Components, Part IIIThis article is the final part of a three part article on components. Part one covered the basic creating of components, part two covered how to write advanced properties, how to write custom streaming for those properties and sub-properties. This final part will cover property/component editors, how to write dedicated editors for your component/property, and how to write hidden components. More Resources First, if you want more, consider buying a book on Developing custom components.Second, why not try locating an existing (with source perhaps) component you are looking for.Third, when you are 100% sure there is no such question on custom component development you cant answer...there will be something that you dont know. Everything you have to do is to ask a question on the Delphi Programming Forum and wait for answers. Articles, papers, tutorialsHere is a list of articles that deal with custom component development in Delphi. VCL Component Messages [RTF]Component Messages (CM_) are generated only by the VCL and are not reflected Windows Messages (WM_), as one may assume. In spite of that Component Notifications (CN_) are reflected Windows Messages. The idea behind it is, that Windows often sends messages to a parent window of a control instead of the control itself. The VCL simply converts (reflects) these messages to Component Notifications and then sends it to the control, for which the message originally was meant. Delphi Component Building.In this article, read about every aspect of Delphi Component building. Design a TTicTacToe component and learn about: how to build our own components for Delphi, how to add properties, methods and custom events to them, how to wrap them around DLLs, how to install them, how to design a palette bitmap and write on-line help to support the component user. Building SuperComponents in Delphi [download]SuperComponents, also known as aggregate or compound components, are collections of existing sub-components and their relationships combined into a single component. The collections are typically arranged inside a container parent component that manages the visual layout of the sub-components.

Marketing Discussion Assignment Example | Topics and Well Written Essays - 750 words

Marketing Discussion - Assignment Example For example, I got ripped off when the seller sold me an 8 oz bottle of mineral water at $5 each stating the water has health-revitalizing ingredients. Next day, I later learned that the all mineral water competitors, regardless of price sell the same type of mineral water. I could have bought a lower priced competitor’s product and save money for a snack food. Two days later, I took advantage of a store’s â€Å"discount sale† promotion and saved 70 percent on my purchase. Further, the average company can honestly make profits and similarly offer value to its current and prospective customers. To increase customer demand, the company must advertise the benefits of buying its products. For example, AMD grabbed a huge share of the Intel’s computer chip market segment because Microsoft refused to incorporate the changing needs of its current clients (Jagpal, 2008). REFERENCES: Jagpal, S. (2008). Fusion for Profit: How Marketing and Finance Can Work Together t o Create Value. New York: University Press. Lilien, G. (2012). Principles of Marketing . New York: Decision Pro Press. Question 5) Nike, Gatorade, and other companies implement both emotional and intellectual marketing strategies (Moehlman, 2010). Nike persuades its current and prospective customers that its shoe products are high quality products and fashion trend makers, a necessary ingredient of sport lifestyles (Hill, 2009). Gatorade insists that Gatorade is a high quality sports ability enhancing beverage, thirst quencher plus energy drink (Nestle, 2007). Further, the product advertising’s promise of a better sports life makes the consumer feel they are reaping the advertisement’s promises. For example, the Nike shoe wearer feels proud he or she intelligently bought and current feels the quality comfort. Consequently, other competitive products offer different benefits. For example, including Coke and Pepsi beverages, offers different benefits that include lower p rices and availability of the products. The companies maximize the point of differentiation in marketing communications by focusing on a market niche. Nike focuses on selling sports shoes. Gatorade markets sports drinks. REFERENCES: Hill, C. (2009). Strategic Management Theory. New York: Cengage Learning Press. Lilien, G. (2012). Principles of Marketing . New York: Decision Pro Press. Moehlman, M. (2010). Target Market. New York: BeWrite Press. 6) The United States sports shoe industry includes many competitors. The sports shoe industry caters to the shoe needs of athletes, sports buffs, and sports shoe lovers. Nike is the industry leader (2011 $24.13 billion) generating the highest 2011 revenue. Adidas is the challenger (2011 $18.82 billion) because of its lower revenue. Further, Adidas will exert additional efforts to reach Nike’s higher revenue level. To increase revenues, the three company types (leader, follower, and nicher) allocate significant budgets to advertise thei r products’ many advantages (Lamb, 2011). The three sports shoe competitors offer quality luxury products at competitive store prices. Each competitor offers comfort, reasonable price, and quality shoe products. The company having the best advertising appeal, pricing, availability or location, will win the current and prospective clients’ mind, heart, and money (Graf, 2009). Puma is the nicher (2011 $3.9 billion) by creating unique, individual, personalized products

Letting the Big Ones Get Away Case Study Example | Topics and Well Written Essays - 750 words

Letting the Big Ones Get Away - Case Study Example This discussion stresses that another standard that applies in respect of prosecutors is that they should refrain from initiating or encouraging efforts to waiver rights from an accused person who is unrepresented. According to Gershman, prosecutors should maintain neutrality. Some of the dilemmas that prosecutors have to deal with include those related to knowing use of false evidence, threatening a person of criminal prosecution with the aim of discouraging them from appearing before the court as a witness. It is also unethical for prosecutors to present false statements of material fact during court proceedings. In the case of the big-name drug dealer and his girlfriend, it is a fact that the prosecutor must uphold justice above his desire for promotion. In addition, he/she should see to it that instead of trying to convict, his duty to justice remains steadfast. Clearly noting, the deal that the drug dealer presents to the prosecutor in respect of transferring his case to his gir lfriend if accepted by the prosecutor will present a situation in which justice is defeated. This is so considering that the big one will be let off the hook and someone innocent in respect of the drugs will be the scapegoat. Furthermore, subjecting the innocent pregnant girl to charges is tantamount to punishing the unborn child for a wrong neither it nor its mother committed. The drug dealer by all means should face justice for his actions. Given that he is well connected and has escaped from the rule of justice several times shows that he is unwilling to change his cause. Furthermore, accepting his offer will result in the defeat of justice in respect of his pregnant girlfriend. However, the strength of the case lies with the girl’s cooperation.