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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R=0.86434 is positive and close to 1‚ it suggests that there is a strong positive relationship between the shoe size and the height. Next‚ let’s formulate the following data (see SHOW SIZE DATA) Using Excel to get the following descriptive statistics for both variables:
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Muli‚ Laurah N. BSMA 2C Table 1 shows the descriptive statistics about the 74 models of automobiles released in the year 1978‚ these include the automobiles’ price‚ mileage‚ repair record‚ headroom‚ trunk space‚ weight‚ length‚ turn circle‚ displacement and the gear ratio with its corresponding results. In terms of automobiles’ price‚ it ranges to $3‚291.00 up to $15‚906.00 for the period of the said year. Its average price is $6‚165.26 with a standard deviation of $2‚949.50. It can be seen
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Standardized description of index numbers for application in generic index computation software modules 1 Photis Stavropoulos1‚ Georges Pongas2‚ Spyros Liapis1‚ George Petrakos1‚ Tonia Ieromnimon1 Agilis S.A. Statistics and Informatics‚ e-mail: Photis.Stavropoulos@agilis-sa.gr‚ Spyros.Liapis@agilis-sa.gr‚ George.Petrakos@agilis-sa.gr‚ Tonia.Ieromnimon@agilis-sa.gr 2 EUROSTAT‚ e-mail: Georges.Pongas@ec.europa.eu Abstract The aim of this paper is to present a scheme for the description of index numbers
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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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Dani Socher Statistics Project Mr. Seufer 1/15/2013 Shooting Guards and Field Goal Percentage In the NBA‚ games are won by shooting the ball well‚ which makes sense. The more times your team’s players get the ball in the hoop‚ the more points are scored. And the more points scored‚ the more games won. Obviously‚ it is a little more complicated than that in reality‚ given how important defense is. But field goal percentage should be a solid indicator of games won. Field goal percentage is as
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30-year mortgage rate for small banks is less than 6 percent? Estimate the p-value. Chapter 11 27. A recent study focused on the number of times men and women who live alone buy take-out dinner in a month. The information is summarized below. Statistic Men Women Sample mean 24.51 22.69 Population standard deviation 4.48 3.86 Sample size 35 40 At the .01 significance level‚ is there a difference in the mean number of times men and women order take-out dinners in a month? What is the p-value
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