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A variable of two populations has a mean of 40and a standard deviation of 12for one of the populations and a mean of 40and a standard deviation of 6for the other population. Moreover, the variable is normally distributed on each of the two populations.

a. For independent samples of sizes 9and 4, respectively, determine the mean and standard deviation ofrole="math" localid="1651243170656" x¯1-x¯2.

b. Can you conclude that the variable x¯1-x¯2is normally distributed? Explain your answer.

c. Determine the percentage of all pairs of independent samples of sizes 9and 4, respectively, from the two populations with the property that the difference x1-x2between the sample means is between -10 and 10 .

Short Answer

Expert verified
  1. Mean μ1-μ2is 0and standard deviation σx¯1−x¯2is 5
  2. The x¯1-x¯2is normally distributed.
  3. The confidence interval will be90%

Step by step solution

01

Part (a) Step 1: Given information

Given in the question that

Mean =40

Standard deviation role="math" localid="1651243475125" 12in sample size 9

Standard deviation 6in sample size4

02

Part (a) Step 2: Explanation

Here we need to find the mean for x¯1-x¯2

So,

μx¯1−x¯2=μ1−μ2=40−40=0

Now the standard deviation of x¯1-x¯2is

σx1−x¯2=σ12n1+σ22n2=1229+624=1449+364=16+9=5

03

Part (b) Step 1: Given information

Given in the question that

Mean =40

Standard deviation 12in sample size 9

Standard deviation 6in sample size 4

04

Part (b) Step 2: Explanation

Here we need to conclude that the x¯1-x¯2is normally distributed

Regardless of the distribution of variables on an individual population, the distribution of mean and standard deviation of x¯1-x¯2remains the same.

The standard deviation formula for x¯1-x¯2is also based on the assumption that the samples are independent. Because each individual population is normally distributed, x¯1-x¯2is also normally distributed, and because of the central limit theorem, this holds true for samples of huge sizes.

05

Part (c) Step 1: Given information

Given in the question that

Mean =40

Standard deviation 12in sample size 9

Standard deviation 6in sample size 4

06

Part (c) Step 2: Explanation

Now we need to find the pooled standard deviation

sp=n1−1s12+n2−1s22n1+n2−2=(9−1)(12)2+(4−1)(6)29+4−2=888(122.9)2+1118(108.1)22006=10.7

Here we need to find the confidence interval

role="math" localid="1651246914263" Confidence interval=x¯1−x¯2±tα/2×sp1n1+1n2−10to10=(40−40)±tα/2×10.719+14±10=±tα/2×6.43tα/2=1.555

Critical value role="math" localid="1651246880570" tα/2=1.555

tα/2=t0.05α=0.101−α=0.90

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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=μ2 will be rejected in favor of the alternative hypothesis H2:μ1≠μ2 if and only if the (1-α)-level confidence interval for μ1-μ2 does not contain 0. In each case, illustrate the preceding relationship by comparing the results of the hypothesis test and confidence interval in the specified exercises.

a. Exercises 10.81 and 10.87

b. Excrcises 10.86 and 10.92

In this section, we introduced the pooled t-test, which provides a method for comparing two population means. In deriving the pooled f-test, we stated that the variable

z=f^1-x^2-μ1-μ2σ1/n1+1/n2

cannot be used as a basis for the required test statistic because σ is unknown. Why can't that variable be used as a basis for the required test statistic?

Provide an example (different from the ones considered in this section) of a procedure based on a paired sample being more appropriate than one based on independent samples.


In each of Exercises 10.75-10.80, we have provided summary statistics for independent simple random samples from non populations. In each case, use the non pooled t-test and the non pooled t-interval procedure to conduct the required hypothesis test and obtain the specified confidence interval.

x¯1=15,s1=2,n1=15,x¯2=12,s2=5andn2=15.

a. Two-tailed test, α=0.05

b. 95%confidence interval.

Find a 90% confidence interval for the difference between the mean heart rates of urban bus drivers in Stockholm in the two environments

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