A company tests its new novice product inspectors by comparing the variability i

Question

A company tests its new novice product inspectors by comparing the variability in the number of defective items spotted by its novice inspectors to the variability in the number of defective items spotted by its expert product inspectors. The company wants to determine whether there is a difference in the variability of the number of defective items spotted by its novice and expert product inspectors. Given the Excel results provided above. If the company uses the. 10 level of significance, the correct conclusion of this hypothesis test is: A. Since the two-tail p-value is 0955, the correct conclusion is to reject the null hypotheses null hypotheses test at the 10 level of significance, there is sufficient evidence to suggest there is a difference in the variability of the novice and expert product inspectors. Since the one-tall p-value is 0955, the correct conclusion is to reject the null hypotheses test at the 10 level of significance, there is sufficient evidence to suggest there is a difference in the variability of the novice and expert product inspectors. Since the one-tall p-value is 0955, the two-tail p-value is, 1910, so the correct conclusion is to fall to reject the null hypotheses test at the, 10 level of significance, there is not sufficient evidence to suggest there is a difference in the variability of the novice and expert product inspectors. none of the above.

Explanation / Answer

Answer : Since the one tail p value is 0.0955 , the two tail p value is 0.1919, so the correct conclusion is fail to reject the null hypothesis test at 0.10 level of significance. There is not sufficient evidence to suggest there is a difference in the variabilty of the novice and the expertg product inspectors.

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