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Which of the following is true?

a. The p-value for a one-tailed test would be the same as the current p-value.
b. The p-value for a one-tailed test would be half the current p-value.
c. If this test was one-tailed instead of two-tailed g, you would reject the null.
d. If this test was one-tailed instead of two-tailed, you would still fail to reject the null.
d. The p-value for a one-tailed test would be double the current p-value.

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Answer:

The correct option is c which is if this test was one-tailed instead of two-tailed, you would reject the null.

Explanation:

a: This statement cannot be true as the p-value for a 1 tailed test is dependent on the level of significance and other features.

b: This statement cannot be true as there is no valid mathematical correlation between the p-value of the one-tailed test and the current p-value.

c: This statement is true because due to the enhanced level of significance, the null hypothesis will not be rejected.

d: This statement is inverse of statement c which cannot be true.

e: The statement cannot be true as there is no correlation between the current p-value and the p-value of 1 tailed test. The correlation exists between the values of one-tailed and two-tailed p-values.

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