To test whether or not there is a significant difference in the average snowfall in Maryland, and Virginia, the average snowfall in the two states during a random sample of 92 days during a leap year were recorded. In Maryland, the average is 5.4 inches with a standard deviation of 0.4 inches and in Virginia, the average is 5.2 inches with a standard deviation of 0.4 inches. Test the hypothesis at a 10% level of significance.

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To test whether or not there is a significant difference in the average snowfall in Maryland, and Virginia, the average snowfall in the two states during a random sample of 92 days during a leap year were recorded. In Maryland, the average is 5.4 inches with a standard deviation of 0.4 inches and in Virginia, the average is 5.2 inches with a standard deviation of 0.4 inches. Test the hypothesis at a 10% level of significance. Use the F-test to solve the Behrens Fisher problem, use Welsh's approximation, the Wilson Hilferty approximation. Use the p-value method.
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Step 1

The provided sample means are shown below:

Xˉ1=5.4\bar X_1 = 5.4

Xˉ2=5.2\bar X_2 = 5.2

Also, the provided sample standard deviations are:

s1=0.4s_1 = 0.4

s2=0.4s_2 = 0.4

and the sample sizes are n1=92n_1 = 92and n2=92n_2 = 92

Null and Alternative Hypotheses

The following null and alternative hypotheses need to be tested:

Ho: μ1\mu_1 = μ2\mu_2 (there is no significant difference in the average snowfall in Maryland, and Virginia)

Ha: μ1\mu_1μ2\mu_2 (there is a significant difference in the average snowfall in Maryland, and Virginia)

This corresponds to a two-tailed test with two independent samples, with unknown population standard deviations will be used.

 

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