Which of the following statements is true about the level of significance in an

ID: 3428870 • Letter: W

Question

Which of the following statements is true about the level of significance in an hypothesis test?

The probability of making a Type II error decreases as the significance level increases.

The larger the significance level, the more likely the null hypothesis will be rejected.

All of the other statements are true.

The power of the test increases as the significance level increases.

The probability of making a Type II error decreases as the significance level increases.

The larger the significance level, the more likely the null hypothesis will be rejected.

All of the other statements are true.

The power of the test increases as the significance level increases.

Which of the following statements is true about the level of significance in an hypothesis test?

A) The probability of making a Type II error decreases as the significance level increases.

B) The larger the significance level, the more likely the null hypothesis will be rejected.

C) All of the other statements are true.

D) The power of the test increases as the significance level increases.

(if significance level increases THEN TYPE II error decreases which means power increases)

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