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    EXERCISE IN STATISTICS

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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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    Kovic’s "Born On The Fourth Of July" This was an extremely powerful book. Ron Kovic is very able to get his point across to the reader. He brings you throughout his life showing you‚ no. . . showing cannot describe the feeling adequately enough. He puts you into his life‚ when he goes through the trenches‚ you go with him. When he hits a home run for little league you can experience‚ not the joy it brought him at the time‚ but the pain in remembering that joy now that he can no longer do

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    Statistics Final

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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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    Descriptive statistic

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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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    Index No Statistics

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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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    Mckinsey Report July 2012

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    Day of reckoning for European retail banking McKinsey report July 2012 The dynamics of the global banking sector have been in flux since the beginning of the 2008. Irate creditors everywhere have called for more stringent regulation to ensure that that the interests of financial institutions are more closely aligned with those of their customers and shareholders. The global‚ European and national authorities have responded with vigour and the regulatory reform to which all banks‚ wholesale and retail

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    Business Statistics

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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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    Statistics Project

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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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    Statistics Questions

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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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    Descriptive Statistics

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    CHAPTER TWO DESCRIPTIVE STATISTICS: TABULAR AND GRAPHICAL PRESENTATIONS MULTIPLE CHOICE QUESTIONS 1. A frequency distribution is a tabular summary of data showing the a. fraction of items in several classes b. percentage of items in several classes c. relative percentage of items in several classes d. number of items in several classes Answer: d 2. A frequency distribution is a. a tabular summary of a set of data showing the relative frequency b. a graphical form of

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