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Price to Earnings Ratios One measure of the value of a stock is its price to earnings ratio (or P/E ratio): the ratio of the price of a stock per share to the earnings per share and can be thought of as the price an investor is willing to pay for $1 of earnings in a company. A stock analyst wants to know whether the P/E ratios for three industry categories differ significantly. The following data represent simple random samples of companies from three categories: (1) financial, (2) food, and (3) leisure goods.

(a) Test the null hypothesis that the mean P/E ratio for each category is the same at the level of significance. Note: The requirements for a one-way ANOVA are satisfied.

(b) If the null hypothesis is rejected in part (a), use Tukey’s test to determine which pairwise means differ using a familywise error rate of

(c) Draw boxplots of the three categories to support the analytic results obtained in parts (a) and (b).

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Corn Production The data in the table represent the number of corn plants in randomly sampled rows (a 17-foot by 5-inch strip) for various types of plot. An agricultural researcher wants to know whether the mean number of plants for each plot type is equal.

(a) Write the null and alternative hypotheses.

(b) State the requirements that must be satisfied to use the oneway ANOVA procedure.

(c) Use the following partial Minitab output to test the hypothesis of equal means at the  level of significance.

(d) Shown are side-by-side boxplots of each type of plot. Do these boxplots support the results obtained in part (c)?

(e) Verify that the -test statistic is 7.10.

(f) Verify the residuals are normally distributed.

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Compatibility with the 3G network, Wi-Fi and a touch screen are other recent features of mobile phones. The previous table also contains data on 3G compatibility and whether the phone has Wi-Fi and touch screen (a ‘1’ indicates the phone has 3G compatibility, Wi-Fi, and touch screen, respectively and a ‘0’ that is does not). Develop another multiple regression model using the four explanatory variables (battery standby time, music player score, camera resolution, and weight) and the three dummy variables 3G, Wi-Fi, and touch screen. Summarize the strength of your model (including the dummy variables) and any new variables generated by recoding. What advice would you give to mobile phone manufacturers with regard to the development, release and marketing of new mobile phones?

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Heart Rate of Smokers A researcher wants to determine the effect that smoking has on resting heart rate. She randomly selects seven individuals from three categories: (1) nonsmokers, (2) light smokers (fewer than 10 cigarettes per day), and (3) heavy smokers (10 or more cigarettes per day) and obtains the following heart rate data (beats per minute):

(a) Test the null hypothesis that the mean resting heart rate for each category is the same at the  level of significance. Note: The requirements for a one-way ANOVA are satisfied.

(b) If the null hypothesis is rejected in part (a), use Tukey’s test to determine which pairwise means differ using a familywise error rate of .

(c) Draw boxplots of the three treatment levels to support the results obtained in parts (a) and (b).

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