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Question: Independent random samples from approximately normal populations produced the results shown below.

Sample 1

Sample 2

52 33 42 4441 50 44 5145 38 37 4044 50 43

52 43 47 5662 53 61 5056 52 53 6050 48 60 55

a. Do the data provide sufficient evidence to conclude that (1-2)>10? Test using=0.1.

b. Construct a confidence interval for (1-2). Interpret your result.

Short Answer

Expert verified

Answer

A confidence interval is described as the set of numbers seen in our sample for which we anticipate discovering the figure that best represents the entire population.

Step by step solution

01

(a) Conduct the test

For Sample 1

x1=43.6n1=151=5.47

For Sample 2

x2=53.625n2=162=5.41

The null hypothesis is H0:(1-2)=10, the alternate hypothesis is H0:(1-2)>10and the level of significance is 0.01 .

The pooled standard deviation issp=n1-112+n2-122n1+n2-2

=15-15.472+16-15.41215+16-2=5.44t=x1-x2-1-2sp1n1+1n2=43.6-53.625-105.44115+116=-0.0251.955=-1.240.52=-0.01

The degree of freedom of test is 15+16-2=29.

From the t-distribution table, the critical value at 0.10 the level of significance for 29 degrees of freedom is 2.46.

Since, , so the null hypothesis will not be rejected.

Therefore, we cannot conclude that (1-2)>10.

02

(b) Find confidence interval.

The 98% confidence interval for the difference in means

=x1-x2t/2sp1n1+1n2=43.6-53.6252.465.44115+116=10.0252.465.440.36=10.0254.82

Thus, the confidence interval for the disparity of means is 5.205to14.845.

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