Business Statistics Semester II 2008/2009 Chapter 1 Introduction of Business Statistics An important decision-making tool in business and is used in virtually every area of business. Among the more common meaning of the word are: 1) the science of gathering‚ analyzing‚ interpreting and presenting data 2) a branch of mathematics 3) a course of study 4) facts and figures 5) a death 6) sample measurement 7) type of distribution used to analyze data Statistics are broadly
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for stock 2 is a litter flatter than the two above. Justify with descriptive statistics and the histogram tools: Firstly use descriptive statistics to summarise the key features of stock1‚ stock2‚ and stock3 respectively. All the available output options were chosen and labels in the first row were chose as in the Appendix figure 4.1 descriptive statistics. The output are as follows: Figure 1.1 descriptive Statistics for Stock 1‚ 2‚ and 3 Stock 1 Stock 2 Stock 3
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standard deviation of 4.08. In which year do the ages show a more dispersed distribution? Show your complete work and support your answer. CV2008 = 3.96/22 * 100% = 18% CV2009 = 4.08/24 * 100% = 17% So‚ 2008 shows more dispersed distribution 3. A local university administers a comprehensive examination to the recipients of a B.S. degree in Business Administration. A sample of examinations are selected at random and scored. The results are shown below. Grade For the above data‚ determine a. The mean = ∑X/n
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QUANTITATIVE METHODS - STATISTICS ------------------------------------------------- (SUBJECT CODE: STA1114) ------------------------------------------------- Instructions to Students: 1. Assignment questions consist of: * Question One - 25% * Question Two - 25% 2. Assignment question must be combined into ONE (1) booklet‚ attached with “Assignment Submission Form” as the front cover‚ enclosed with the “Marking Criteria.” typed with double spacing
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Today‚ 564‚708 people in the U.S. are homeless (“2016’s Shocking Homelessness Statistics”). As we speak‚ the rate of homelessness continues to rise. There are many reasons for homelessness: national debt‚ natural disasters‚ and unemployment. Although national debt and natural disasters are important factors of homelessness‚ society mainly focuses on unemployment and limited job opportunities. In fact‚ society stigmatizes homeless people as lazy and hopeless individuals. For example‚ many people think
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EXERCISE IN STATISTICS Below are hypothetical data. (1) Organize them in bivariate tables to answer the problems below. Determine the statistics to use for each. 1. Are sex and occupation associated? 2. Are age and income correlated? 3. Are educational attainment and sex associated? 4. Are civil status and occupation associated? 5. Are occupation and income related N>E> you may use data transformation (from interval data to nominal data) Respondent No. Age Sex Civil Status Educational attainment
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Real Estate Data DUE SUNDAY‚ MAY 21st Resources: Appendix A1 at the end of Basic Statistics for Business and Economics (See attached Chapters 10 & 13 to answer questions below) QUESTION #1: Answer question 58 in the Data Set Exercises from Ch. 10 of Basic Statistics for Business and Economics. Exercise #58: Refer to the Real Estate data‚ which report information on homes sold in Phoenix‚ Arizona‚ last year. a. A recent article in The Arizona Republic indicated that the mean
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middle of a distribution of numbers‚ such that half the cases are higher and half lower than a value. What statistical measure should he use? A. mean B. median* C. mode D. standard deviation 3. A "codebook" is A. only used in existing statistics research. B. a document that tells the researcher where variables are located in the data file and what numbers go with variable attributes* C. the set of instructions that tell interviewers or experimenters how to treat respondents or subjects
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Chapters 1-3:In order to control costs‚ a company wishes to study the amount of money its sales force spends entertaining clients. The following is a random sample of six entertainment expenses (dinner costs for four people) from expense reports submitted by members of the sales force. $157‚ $132‚ $109‚ $145‚ $125‚ $139. Calculate the mean and sample variance(s^2) and standard deviation. Mean = 807/6 = 134.5. Sample Variance = (109925 – (807^2/6)/6-1 = (109925 – 108541)/5 = 1384/5 = 276.8.
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------------------------------------------------- Introduction: This data set we have been assigned to analyze highlights the fuel-efficiency of the mentioned cars relative to several other variables. One of the major issues most stressed upon to date is the ever-increasing threat of environmental degradation‚ global warming‚ and the need to conserve our scarce natural resources. This has led us to examine the fuel efficiency of cars. With rising gas prices‚ owning a car can become quite costly
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