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Suppose you wish to detect a difference in the locations of two population distributions based on a paired-difference experiment consisting of \(n=30\) pairs. a. Give the null and alternative hypotheses for the Wilcoxon signed-rank test. b. Give the test statistic. c. Give the rejection region for the test for \(\alpha=.05\). d. If \(T^{+}=249,\) what are your conclusions? [NOTE: \(T^{+}+T^{-}=n(n+1) / 2 .\)

Short Answer

Expert verified
Answer: We cannot conclude that there is a significant difference in the locations of the two population distributions.

Step by step solution

01

a. Null and alternative hypotheses

For the Wilcoxon signed-rank test, the null hypothesis (H鈧) states that the median difference between the paired observations is zero, implying no significant difference in the locations of the two population distributions. The alternative hypothesis (H鈧) states that the median difference is not zero, which means there is a significant difference in the locations of the two population distributions. H鈧: The median difference between the paired observations is 0. H鈧: The median difference between the paired observations is not 0.
02

b. Test statistic

The test statistic for the Wilcoxon signed-rank test is the smaller of the two sums of the ranks of the positive and negative differences, denoted as T鈦 and T鈦. The test statistic T is defined as: T = min(T鈦, T鈦)
03

c. Rejection region for the test at 伪 = 0.05

To determine the rejection region for the test at a significance level of 伪 = 0.05, we need to find the critical values of the test statistic (T) from a Wilcoxon signed-rank table or an appropriate statistical software. For n = 30 pairs and 伪 = 0.05, the critical values are: Lower critical value = 58 Upper critical value = 367 Thus, the rejection region for the test at 伪 = 0.05 is: T < 58 or T > 367
04

d. Conclusions based on the given value of T鈦

We are given that T鈦 = 249. To find the value of T鈦, we can use the formula: T鈦 + T鈦 = n(n+1) / 2 Plugging in the values, we get: 249 + T鈦 = 30(31) / 2 T鈦 = 465 - 249 T鈦 = 216 Now, we need to find the test statistic T = min(T鈦, T鈦): T = min(249, 216) T = 216 Since the test statistic T is not in the rejection region (T 鈮 58 and T 鈮 367), we fail to reject the null hypothesis (H鈧). Therefore, we cannot conclude that there is a significant difference in the locations of the two population distributions.

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