1) Psychology uses an alpha level of .05. This means that A) When we get a non s

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Question

1) Psychology uses an alpha level of .05. This means that

A) When we get a non significant result, there is a 5 % chance we are making a false negative

B) When the null hypothesis is false, there is a 5 % chance that will accidentally fail to reject it

C) When we get a significant result, there is a 5% chance that it is a false positive

D) When the null hypothesis is true, there is a 5% chance that is is a false positive

2) How can we increase our chances of getting a significant result if our research hypothesis is true?

A) Reduce statistical power

B) Use a between-subjects design

C) Increase our sample size

D) Lower our alpha size

3) What should the distribution of significant p-values look like in a set of studies, if the effects are all real?

A) Most of the p values shoul be close to zero (e.g. between 0 and .01)

B) The p values should be evenly spread between 0 and .05

C) Most of the p-values should be close to .05 (e.g. between .04 and .05)

1) The answer is Option C. An alpha level of .05 implies that when we get a significant result, there is a 5% chance that it is a false positive.

2) The answer is Option C. Increasing the sample size is likely to increase chances of getting a significant result.

3) The answer is Option A. Most of the p values should be close to zero (e.g. between 0 and .01) for the effects to be interpreted as real

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