John rejected his null hypothesis in a right-tailed test for a mean at = .025 be

Question

John rejected his null hypothesis in a right-tailed test for a mean at = .025 because his critical t value was 2.000 and his calculated t value was 2.345. We can be sure that:

John did not commit a Type I error.

John did not commit a Type II error.

John committed neither a Type I nor Type II error.

John committed both a Type I and a Type II error.

"My careful physical examination shows no evidence of any serious problem," said Doctor Morpheus. "However, a very costly lab test can be performed to check for the rare condition known as estomalgia fatalis. The test is almost invariably negative for persons with your age and symptoms. My personal hypothesis is that the occasional stomach pain you reported is due to indigestion caused by eating tacos with too much hot sauce. But you must decide for yourself." As you consider your doctor's hypothesis, what would be the consequence of Type I error on your part?

It can't be determined without knowing the type of test.

Your estomalgia fatalis will go undetected.

You will waste money on an unnecessary lab test.

Your survivors will enjoy a sizeable malpractice award.

MC Qu. 116 The power of a test is the probabilit...

The power of a test is the probability of:

concluding H1 when H1 is true.

concluding H1 when H0 is true.

concluding H0 when H0 is true.

concluding H0 when H1 is true.

Explanation / Answer

1)for rejecting of null hypothesis leads to type I error if any,

therfore correct option is ohn did not commit a Type II error

2) You will waste money on an unnecessary lab test.

3) power of a test is the probability of: concluding H1 when H1 is true.

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