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Question 2 In the above hypothesis test in Q1, t-statistics test reject the null

ID: 2442354 • Letter: Q

Question

Question 2

In the above hypothesis test in Q1, t-statistics test reject the null hypothesis, 40 is not within the confidence interval, but p value is smaller than the significance level alpha, how to explain this inconsistency?

Sample size is to small

Mistake in calculation when do the hypothesis test

The dataset collected has low quality

Sample size is to large

A.

Sample size is to small

B.

Mistake in calculation when do the hypothesis test

C.

The dataset collected has low quality

D.

Sample size is to large

Explanation / Answer

Answer:- p value is smaller than the significance level alpha, It means the coefficient should be significant and Null Hypothesis should be rejected. So there is a mistake in calculation when do the hypothesis test due to which there is inconsistency.

Option (B) is correct.

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