Question

1. Which of the following demonstrates a Type I Error? A. A researcher obtains a significant...

1. Which of the following demonstrates a Type I Error?

A.

A researcher obtains a significant result and rejects the null hypothesis when the result is actually due to random chance and sampling error.

B.

A researcher obtains a significant result and fails to reject the null hypothesis when the result is actually due to random chance and sampling error.

C.

A researcher obtains a nonsignificant result and rejects the null hypothesis when the result is actually due to a genuine effect of the variables.

D.

A researcher obtains a nonsignificant result and fails to reject the null hypothesis when the result is actually due to a genuine effect of the variables.

2. Which of the following demonstrates a Type II Error?

A.

A researcher obtains a significant result and rejects the null hypothesis when the result is actually due to random chance and sampling error.

B.

A researcher obtains a significant result and fails to reject the null hypothesis when the result is actually due to random chance and sampling error.

C.

A researcher obtains a nonsignificant result and rejects the null hypothesis when the result is actually due to a genuine effect of the variables.

D.

A researcher obtains a nonsignificant result and fails to reject the null hypothesis when the result is actually due to a genuine effect of the variables.

3. Which scenario would produce the highest t-obt. values for an independent samples t-test?

A.

Large mean differences between the samples, with high variability within each sample

B.

Small mean differences between the samples, with high variability within each sample

C.

Large mean differences between the samples, with low variability within each sample

D.

Small mean differences between the samples, with low variability within each sample

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Answer #1

1. Type I error:

A researcher obtains a significant result and rejects the null hypothesis when the result is actually due to random chance and sampling error. Option A is correct.

2. Type II error:

A researcher obtains a nonsignificant result and fails to reject the null hypothesis when the result is actually due to a genuine effect of the variables. Option D is correct.

3. Large mean differences between the samples, with low variability within each sample

Option C is correct.

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