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Tukey's Quick Test.

In this exercise, we examine an alternative method, conceived by the late Professor John Tukey, for performing a two-tailed hypothesis test for two population means based on independent random samples. To apply this procedure, one of the samples must contain the largest observation (high group) and the other sample must contain the smallest observation (low group). Here are the steps for performing Tukey's quick test.
Step I Count the number of observations in the high group that are greater than or equal to the largest observation in the low group. Count ties as 12.

Step 2 Count the number of observations in the low group that are less than or equal to the smallest observation in the high group. Count ties as 12.

Step 3 Add the two counts obtained in Steps 1 and 2, and denote the sum c.

Step 4 Reject the null hypothesis at the 5% significance level if and only if c≥7; reject it at the 1% significance level if and only if c≥10; and reject it at the0.1% significance level if and only
ifc≥13.
a. Can Tukey's quick test be applied to Exercise 10.48 on page 416? Explain your answer.
b. If your answer to part (a) was yes, apply Tukey's quick test and compare your result to that found in Exercise 10.48, where a t-test was used.
c. Can Tukey's quick test be applied to Exercise 10.74? Explain your answer.
d. If your answer to part (c) was yes, apply Tukey's quick test and compare your result to that found in Exercise 10.74, where a t-test was used.

Short Answer

Expert verified

(a) No, Turkey's quick test is not applicable to Exercise 10.42 because both the higher and lower value occurs in the "South Household" data.

(b) Turkey's quick test cannot be applied. Therefore, Turkey's quick test cannot be compared with the result found in Exercise 10.42.

(c)Yes, Turkey's quick test is applied to Exercise 10.86, because the lowest value appears in the group migraatory and the highest value appears in the group non-migratory.

(d)So the value of c is greater than 10 so the null hypotheiss is rejected at 1% level. Hence the result obtained in both t-pooled test and Turkey's quick test are similar.

Step by step solution

01

Part (a) Step 1. GIven Information.  

About Turkey's quick test and using it for above mentioned exercises.

02

Part (a) Step 2. Turkey's test.

No, Turkey's quick test is not applicable to Exercise 10.48 because both the higher and lower value occurs in the "South Household" data.

03

Part (b) Step 1. Explanation.

Turkey's quick test cannot be applied. Therefore, Turkey's quick test cannot be compared with the result found in Exercise 10.48.

04

Part (c) Step 1. Turkey's test to exercise 10.86.

Yes, Turkey's quick test is applied to Exercise 10.86, because the lowest value appears in the group migraatory and the highest value appears in the group non-migratory.

05

Part (d) Step 1. Comparing the result.

From the given data set, the higher value in the group "migratory" is 84.95.

There are seven values that are lesser than the higher vaue in the group "non-migratory".

From the given data set, the lower value in the group "non-migratory" is 82.1.

There are six values that are lower than the lower value in the group "non-migratory".

So,

c=7+6+12=13.5

So the value of c is greater than 10 so the null hypotheiss is rejected at 1% level. Hence the result obtained in both t-pooled test and Turkey's quick test are similar.

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Most popular questions from this chapter

Two-Tailed Hypothesis Tests and CIs. As we mentioned on page 413, the following relationship holds between hypothesis tests and confidence intervals: For a two-tailed hypothesis test at the significance level α, the null hypothesis H0:μ1=μ2will be rejected in favor of the alternative hypothesis Ha:μ1μ2if and only if the ( 1-α)-level confidence interval for μ1-μ2does not contain 0. In each case, illustrate the preceding relationship by comparing the reults of the hypothesis test and confidence interval in the specified xercises.

a. Exercises 10.48 and 10.54.

b. Exercises 10.49 and 10.55.

In this Exercise, we have provided summary statistics for independent simple random samples from two populations. In each case, use the pooled t-test and the pooled t-interval procedure to conduct the required hypothesis test and obtain the specified confidence interval.

x¯1=20,s1=4,n1=10,x¯2=23,s2=5,n2=15

a. Left-tailed test,α=0.05

b. 90%confidence interval

Refer to Exercise 10.86and find a 99% confidence interval for the difference between the mean wing lengths of the two subspecies.

In each of Exercises 10.39-10.44, we have provided summary statistics for independent simple random samples from two populations. In each case, use the pooled t-test and the pooled t-interval procedure to conduct the required hypothesis test and obtain the specified confidence interval.
10.40 x¯1=10,s1=4,n1=15,x¯2=12,s2=5,n2=15
a. Two-tailed test, α=0.05
b. 95%confidence level.

Suppose that the sample sizes, n4and n2, are equal for independent simple random samples from two populations.

a. Show that the values of the pooled and nonpooled r-statistics will be identical. (Hint: Refer to Exercise 10.61 on page 417.)

b. Explain why part (a) does not imply that the two t-tests are Equivalent (i.e., will necessarily lead to the same conclusion) when the sample sizes are equal.

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