11. The close the hypothesized mean is to the actual mean the greater the power
ID: 3365084 • Letter: 1
Question
11. The close the hypothesized mean is to the actual mean the greater the power of the test. true/false
13. The samller the p-value, the more we doubt the null hypothesis. true/false
14. You cannot make a Type II error when the null hypothesis is true. true/false
15. A Type II error is rejecting a true null hypothesis. true/false
16. When conducting a hypothesis test about a single mean, other relevant factors help constant, increasing the elvel of significance from .05 to .10 will reduce the probability of a Type I error. True/false
17. When conducting a hypothesis test about a signle mean, other relevant factors held constant, increasing the level of significance from .05 to .10 will reduce the probability of a Type II error. True/False
18. The null hypothesis always includes an equal (=) sign. True/False
19. When the null hypothesis is true there is no possibility of making a Type I error. True/false
Explanation / Answer
13. The samller the p-value, the more we doubt the null hypothesis. true/false
As the p-value decreases chances of rejecting the null hypothesis increases.
Hence, it is true.
14. You cannot make a Type II error when the null hypothesis is true. true/false
Type II error is the probability of fail to reject the false null hypothesis.
Hence, it is true.
15. A Type II error is rejecting a true null hypothesis. true/false
Type II error is the probability of fail to reject the false null hypothesis.
Hence, it is false.
16:When conducting a hypothesis test about a single mean, other relevant factors help constant, increasing the level of significance from .05 to .10 will reduce the probability of a Type I error. True/false
Type I error is the probability of rejecting the null hypothesis.
As the level of signficance increases, chances of rejecting null hypothesis increases.
Hence, it is false.