1) Standard error

a. measures the total distance between all the sample means in the sampling distribution and the mean of the sampling distribution

b. measures the total distance between all the sample means in the original distribution and the mean of the original distribution

c. measures the average distance between all the sample means in the original distribution and the mean of the original distribution

d. measures the average distance between all the sample means in the sampling distribution and the mean of the sampling distribution

2) Finding a statistically significant difference between two groups indicates that:

a. the difference is very large

b. the difference is unlikely to be due to chance

c. the difference is important in the real world

d. the same difference would definitely occur if another researcher attempted to replicate the study

3) Which is TRUE?

a. Standard error is a measure of sampling error

b. Standard error takes account of the sample size used to create the sampling distribution, but standard deviation does not

c. Sampling error is a measure of standard error

d. All of the above is true

e. A and B are true

f. B and C are true

4) The rejection (or critical) region is the area under the normal curve where obtained values:

a. are likely to fall when the null hypothesis is true

b. are unlikely to fall when the null hypothesis is true

c. are unlikely to fall when the alternative hypothesis is true

5) Which will increase power?

a. a larger difference between conditions (levels of the IV)

b. a smaller difference between conditions (levels of the IV)

6) you can conduct a z test if your study is a quasi-experiment

a. true

b. false

7) which of these can be an alternative hypothesis

a)GA =15

b)GA 15

c)GA 15

d)GA 15