Every year, Fortune Magazine lists the 100 best companies to work for, based on criteria such as pay, benefits, turnover rate, and diversity. In 2013, the top three were Google, SAS, and CHG Healthcare. Of the top 30, 11 experienced double-digit job growth (10% or more), 16, single-digit growth ( $1 \%$ to $10 \%), 2$ had no growth, and Google did not report. Of the bottom 30, only 5 experienced double-digit job growth, 16 had single-digit growth, and 9 had no growth or job loss. Disregarding Google, is job growth in the best of the best places to work differently from job growth at the bottom of that elite list?

b) Check the assumptions.

According to the Gallup Poll, $27\%$ of U.S. adults have high levels of cholesterol. Gallup reports that such elevated levels "could be financially devastating to the U.S. healthcare system" and are a major concern to health insurance providers. According to recent analyses, cholesterol levels in healthy U.S. adults average about $215 \mathrm{mg} / \mathrm{dL}$ with a standard deviation of about $30 \mathrm{mg} / \mathrm{dL}$ and are roughly Normally distributed. If the cholesterol levels of a sample of 42 healthy U.S. adults are taken,

b) What would the mean of the sampling distribution be?

At a major credit card bank, the percentages of people who historically apply for the Silver, Gold, and Platinum cards are $60 \%, 30 \%$, and $10 \%$, respectively. In a recent sample of customers responding to a promotion, of 200 customers, 110 applied for Silver, 55 for Gold, and 35 for Platinum. Is there proof to indicate that the percentages for this promotion may be different from the historical proportions?

e) Using the critical value, what do you conclude about the null hypothesis at $\alpha=0.05$?

At a major credit card bank, the percentages of people who historically apply for the Silver, Gold, and Platinum cards are $60 \%, 30 \%$, and $10 \%$, respectively. In a recent sample of customers responding to a promotion, of 200 customers, 110 applied for Silver, 55 for Gold, and 35 for Platinum. Is there proof to indicate that the percentages for this promotion may be different from the historical proportions?

d) Find the $\alpha=0.05$ critical value for the $\chi^2$ distribution with the appropriate number of $\mathrm{df}$.

At a major credit card bank, the percentages of people who historically apply for the Silver, Gold, and Platinum cards are $60 \%, 30 \%$, and $10 \%$, respectively. In a recent sample of customers responding to a promotion, of 200 customers, 110 applied for Silver, 55 for Gold, and 35 for Platinum. Is there proof to indicate that the percentages for this promotion may be different from the historical proportions?

c) What does that say about the null hypothesis?

Does the statistic you calculated in the earlier exercise seem large in comparison to this mean? Describe briefly.

At a major credit card bank, the percentages of people who historically apply for the Silver, Gold, and Platinum cards are $60 \%, 30 \%$, and $10 \%$, respectively. In a recent sample of customers responding to a promotion, of 200 customers, 110 applied for Silver, 55 for Gold, and 35 for Platinum. Is there proof to indicate that the percentages for this promotion may be different from the historical proportions?

a) If the customers apply for the three cards according to the historical proportions, about how big, on average, would you expect the $\chi^2$ statistic to be (what is the mean of the $\chi^2$ distribution)?

Use the survey results in the table below to analyze differences in employee job satisfaction among organizations in the United States with different management styles.

e) Analyze the meaning of the results and state a conclusion.

Use the survey results in the table below to analyze differences in employee job satisfaction among organizations in the United States with different management styles.

d) Test a suitable hypothesis and state your results.

Use the survey results in the table below to analyze differences in employee job satisfaction among organizations in the United States with different management styles.

c) State the hypotheses.

Use the survey results in the table below to analyze differences in employee job satisfaction among organizations in the United States with different management styles.

b) Check the assumptions.

Use the survey results in the table below to analyze differences in employee job satisfaction among organizations in the United States with different management styles.

a) Choose the appropriate procedure.

Industry sector and outsourcing. Many companies have selected to outsource segments of their business to external providers in order to cut costs and improve quality and/or efficiencies. Common business segments that are outsourced include Information Technology (IT) and Human Resources (HR). Consider only the companies that have outsourced their IT and HR business segments. Do these data suggest significant differences between companies in the financial and industrial goods sectors with regard to their outsourcing decisions?

Industry sector and outsourcing. Many companies have selected to outsource segments of their business to external providers in order to cut costs and improve quality and/or efficiencies. Common business segments that are outsourced include Information Technology (IT) and Human Resources (HR). Consider only the companies that have outsourced their IT and HR business segments. Do these data suggest significant differences between companies in the financial and industrial goods sectors with regard to their outsourcing decisions?

d) Test an appropriate hypothesis and state your results.