Question

Throwback Question. Suppose the following hypotheses are tested: H.:p= 0.544 versus HQ:P + 0.544 What is the appropriate decision rule for this test? O reject H, if probability <a O reject H, if probability + a O reject H, if probability > a The probability for the test is found to be 0.0627. Based on the decision rule above, what type of error is possible if a = 0.05? Type I error O Type II error If the significance level were changed to a = 0.01, what effect would it have on the error above? O A Type I error would now be possible. O A Type II error would now be possible. O There would be no change in error.

Answer 1

1.

We reject H0 when p value is less than significance level.

1sy opt is correct.

Reject H0, if probability < alpha

2.

Type II error is Accepting H0 when it is false.

Therefore, 2nd option is correct.

Type II error.

3.

If alpha is 0.01 still HO is Accepted.

Therefore, last option is correct.

There would be no change in error

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