Question

1) True or false? Why? a) The smaller the sample size, the more accurate the reported average of the sample. b) Type II error is when we accept a false null hypothesis c) A maintained hypothesis that is considered to be true unless sufficient evidence to the contrary is obtained is called the alternative hypothesis.

Answer 1

1.a) True. The smaller the sample size, the more accurate the reported average of the sample . when the sample size is small, then mean scores will be artificially inflated or deflated. But when sample size increases , the mean could reflect a wider variety of scores.

So smaller the sample size provide more accurate average value.

b) True: Type II error, is the accepatnce of a false null hypothesis.

c) False: Alternate hypothesis is contradictory to the null hypothesis, and is accepted as true only if there is convincing evidence in favor of it.

Null hypothesis is a maintained hypothesis that is considered to be true unless sufficient evidence to the contrary.