One measure of the value of a stock is its price to earningsratio (or P/E ratio). It is the ratio of the price of a stock pershare to the earnings per share and can be thought of as the pricean investor is willing to pay for $1 of earnings in a company. Astock analyst wants to know whether the P/E ratios for threeindustry categories differ significantly. The following datarepresent simple random samples of companies from three categories:(1) financial, (2) food, and (3) leisure goods.
Financial | Food | Leisure Goods |
8.83 | 19.75 | 14.1 |
12.75 | 17.87 | 10.12 |
13.48 | 15.18 | 15.57 |
14.42 | 22.84 | 13.48 |
10.06 | 15.6 | 11.27 |
- Test the null hypothesis that the mean P/E ratio for eachcategory is the same at the alpha = 0.05 level of significance withthe following steps:
- Formulate the null hypothesis and alternative hypothesis.
H0: ______________________________ versus  H1: _________________________________________.
- Check the assumptions and find MST, MSE, and the test statisticof fo with degrees of freedom of numerator and denominator.
- Make a decision and draw a conclusion with alpha = 0.05 levelof significance.
- If the null hypothesis is rejected in part (a), use Tukey’stest to determine which pairwise means differ using a familywiseerror rate of alpha = 0.05, where qa,v,k = q0.05,12,3 = 3.773 fromthe table of critical values for Tukey’s Test.
H0: __________________ versus  H1: ____________________.
q0=
Decision:
H0: __________________ versus  H1: ____________________.
q0= Â Â Â
Decision:
H0: __________________ versus  H1: ____________________.
q0=
Decision:
• Use lines to indicate which population means are notsignificantly different.