7.7.1 One measure of the meat quality of pigs is backfat thickness. Suppose two researchers, Jones and Smith, are planning to measure backfat thickness in two groups of pigs raised on different diets....


7.7.1 One measure of the meat quality of pigs is backfat<br>thickness. Suppose two researchers, Jones and Smith, are<br>planning to measure backfat thickness in two groups of<br>pigs raised on different diets. They have decided to use<br>the same number (n) of pigs in each group, and to com-<br>pare the mean backfat thickness using a two-tailed t test<br>at the 5% significance level. Preliminary data indicate<br>that the SD of backfat thickness is about 0.3 cm.<br>When the researchers approach a statistician for help<br>in choosing n, she naturally asks how much difference<br>they want to detect. Jones replies,

Extracted text: 7.7.1 One measure of the meat quality of pigs is backfat thickness. Suppose two researchers, Jones and Smith, are planning to measure backfat thickness in two groups of pigs raised on different diets. They have decided to use the same number (n) of pigs in each group, and to com- pare the mean backfat thickness using a two-tailed t test at the 5% significance level. Preliminary data indicate that the SD of backfat thickness is about 0.3 cm. When the researchers approach a statistician for help in choosing n, she naturally asks how much difference they want to detect. Jones replies, "If the true difference is 1/4 cm or more, I want to be reasonably sure of rejecting Ho." Smith replies, "If the true difference is 1/2 cm or more, I want to be very sure of rejecting Ho." If the statistician interprets "reasonably sure" as 80% power, and "very sure" as 95% power, what value of n will she recommend (a) to satisfy Jones's requirement? (b) to satisfy Smith's requirement?

Jun 09, 2022
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