Corporate sustainability of CPA firms. Refer to the Business and Society (March 2011) study on the sus- tainability behaviors of CPA corporations, Exercise 6.12 (p. 308). Recall that the level of support for corporate sustainability (measured on a quantitative scale ranging from 0 to 160 points) was obtained for each in a sample of 992 scnior manage rs at CPA firms. The data (where higher point values indicate a higher level of support for sustain- ability) are saved in the accompanying file. The CEO of a CPA firm claims that the true mean level of support for sustainability is 75 points. a. Specity the null and alternative hypotheses for testing this claim. b. For this problem, what is a Type I error? A Type II error? e. The XLSTAT printout on the following page gives the results of the test. Locate the test statistic and p-value on the printout. d. At a- 05, give the appropriate conclusion. e. What assumptions, if any, about the distribution of sup- port levels must hold true in order for the inference derived from the test to be valid? Explain. B XLSTAT 2011.4.02 - One-sample t-test and z-test Theoretical mean: 75 Significance level (%): 5 Summary statistics Summary statisties: Variable Observations Minimum Maximum Mean Std. devistion Suppert 992 0.0000 155.0000 67.7550 26.3707 One-sample 2-test / Two-tailed test: 95% confidence interval on the mean: ( 66.0829, 69.4271) Difference -7.2450 2 (Obsorved value) 12) (Critical value) p-value (Two-tailad) alpha -8.4923 1.9600 <0,0001 0.05

Because statistical software plays such an important role in modern statistical applications, many studies have encouraged the use of technology in statistics courses. The Guidelines for the Assessment and Instruction in Statistics Education (GAISE) (Aliaga et al., 2005) project was funded by the American Statistical Association to examine needs for college level statistics courses. One of the six recommendations from GAISE is the use of technology for developing conceptual understanding and analyzing data. A survey was sent to students at 100 different universities across the United States to access the relationship between ease of learning the statistical software program SAS and a student's currently level of SAS proficiency. The results of the survey are published in Jackson et al., 2011, in the International Mathematical Forum journal and are shown below. Table 1.Two-way table for ease of learning SAS and SAS proficiency level. Proficiency Not Somewhat Total Very proficient…

A team of epidemiologists at the Mayo Clinic wanted to find whether there is an association between obesity and cardiovascular disease (CVD). They conducted a prospective cohort study following obese and non-obese individuals who were free of CVD at the beginning of study for five years. The investigators were also interested in assessing age as a potential confounder, effect modifier, or both. Use the data below to answer the accompanying questions.     CVD No CVD Total Obese 10 90 100 Not Obese 35 465 500 Total 45 555 600       CVD No CVD Total Obese 36 164 200 Not Obese 25 175 200 Total 61 339 400   1. Compute the appropriate measure of association for those who were less than age 50.  2. Compute the appropriate measure of association for those who were older or equal to age 50.  3. Compute the crude measure of association?  4. List three attributes that age must satisfy before it could…

The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate (X) and the average amount spent on entertainment (Y) for a random sample of 9 of the 25 most-visited U.S. cities. These data lead to the estimated regression equation y = 17.49 + 1.0334x. For these data SSE = 1541.4. Use Table 1 of Appendix B.  a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals). b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals). c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals).