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10.33 Regarding the four conditions required for using the pooled t-procedures:
a. what are they?
b. how important is each condition?

Short Answer

Expert verified

(a) Simple random samples, independent samples, normal population or large samples, and equal population standard deviations.

(b) The assumptions of simple random samples and independent samples are essential. Even for small or intermediate-sized samples, moderate deviations of the normality assumption are acceptable. If the two sample sizes are roughly equal, moderate violations of the equal-standard-deviations condition are not considered severe.

Step by step solution

01

Part (a) Step 1: Given information

To find the four conditions required for using the pooled t-procedures.

02

Part (a) Step 2: Explanation

The following assumptions are made for comparing two population means using the pooled t - procedure.
(1) Simple random variables
(2) Independent samples
(3) Normal population or large samples
(4) Equal population standard deviation.

03

Part (b) Step 1: Given information

To find that the importance of each condition required for using the pooled t-procedures.

04

Part (b) Step 2: Explanation

The following assumptions are made for comparing two population means using the pooled t- procedure.

(1) Simple random variables
(2) Independent samples
(3) Normal population

(4) Equal population standard deviation.
The pooling t- test can also be used to compare two means in a specified experiment if assumptions 1and2 are met.
In the case of large samples, the pooled t- test is robust to modest violation of assumption3 (normal populations).
In the case of nearly equal sample sizes, the pooled t- test is robust for moderate violation of assumption 4(equal population standard deviation).

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Most popular questions from this chapter

The intent is to employ the sample data to perform a hypothesis test to compare the means of the two populations from which the data were obtained. In each case, decide which of the procedures should be applied.

Independent: n1=17

n2=17

In this Exercise, we have provided summary statistics for independent simple random samples from two populations. In each case, use the pooled t-lest 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=18,s2=5,n2=15

a. Right-tailed test,α=0.05

b. 90%confidence interval

Left-Tailed Hypothesis Tests and CIs. If the assumptions for a nonpooled t-interval are satisfied, the formula for a (1-α) level upper confidence bound for the difference, μ1-μ2. between two population means is

f1-f2+t0·s12/n1+s22/n2

For a left-tailed hypothesis test at the significance level α, the null hypothesis H0:μ1=μ2 will be rejected in favor of the alternative hypothesis H2:μ1<μ2 if and only if the (1-α)-level upper confidence bound for μ1-μ2 is less than or equal to 0. In each case, illustrate the preceding relationship by obtaining the appropriate upper confidence bound and comparing the result to the conclusion of the hypothesis test in the specified exercise.

a. Exercise 10.83

b. Exercise 10.84

Faculty Salaries. Suppose, for example10.2, you want to decide whether the mean salary of faculty in private institutions is greater than the mean salary of faculty in public institutions. State the null and alternative hypotheses for that hypothesis test.

A variable of two population has a mean of 40and standard deviation of 12for one of the population and a mean of 40and a standard deviation of 6 for the other population.

a. For independent samples of sizes 9and4respectively find the mean and standard deviation of x1-x2

b. Must the variable under consideration be normally distributed on each of the two population for you to answer part (a) ? Explain your answer.

b. Can you conclude that the variable x1-x2is normally distributed? Explain your answer.

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