Question

Assume that a hypothesis test of the given claim will be conducted. Identify the type I or type II error for the test.

Question 7
A medical researcher claims that 6% of children suffer from a certain disorder. Identify the type I error for the test.

		Reject the claim that the percentage of children who suffer from the disorder is equal to 6% when that percentage is actually 6%.
		Fail to reject the claim that the percentage of children who suffer from the disorder is equal to 6% when that percentage is actually 6%.
		Reject the claim that the percentage of children who suffer from the disorder is different from 6% when that percentage really is different from 6%.
		Fail to reject the claim that the percentage of children who suffer from the disorder is equal to 6% when that percentage is actually different from 6%.

Answer 1

Hello

The correct answer is OPTION A.

Type I error, also known as False Positive Error, occurs when null hypothesis is actually true, but is rejected during testing.

Here, null hypothesis will be that 6% children suffer from disorder.

Hence, rejecting the claim that the person suffering from disorder is 6% when its infact 6% is type I error.

I hope this solves your doubt.

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