Question

1. If the alpha level is changed from .05 to .01, what affect does that have on beta?

		Beta decreases
		Beta increases
		beta is unaffected
		cannot be determined

3 points   

QUESTION 18

If alpha is 0.05 and the p value for your obtained statistic is 0.01, you could be making a _________.

either a Type II error or correct decision

either a Type II error or a Type I error

either a Type I error or a correct decision

all of these

1. The p-value represents

		the probability of having gotten our obtained value or one more extreme just by chance.
		the probability of having gotten the critical value or one more extreme just by chance.
		the probability that our result is theoretically significant.
		the probability that there is a real effect.

3 points   

QUESTION 16

1.

If one draws all possible samples for various values of N from the same population of raw scores, as Nincreases _________.

		the standard error of the mean increases
		the standard error of the mean stays the same
		the standard error of the mean decreases
		the standard error of the mean cannot be calculated

Answer 1

1.

Since

Alpha: Probability of falsely rejecting H0

Beta: Probability of falsely accepting H0

so as its clear from the definition that both cannot go in the same way hence if alpha changed from 0.05 to 0.01 (decreased ) so Beta will increase Hence

Beta increases

Question 18.

Alpha=0.05 P-value =0.01

since P Value is less than level of significance hence we reject Ho so there are chances that we falsely rejecting H0 or its correct to reject H0 Hence

either a Type I error or a correct decision

3)

P value is probability of getting result at least as extreme as observed data under null hypothesis

so The P value represents

the probability of having gotten our obtained value or one more extreme just by chance.

Question 16

Since standard error of mean given by

so as n increase SE will decrease hence

the standard error of the mean decreases