Why is it possible for condition means to differ at the end of an experiment even if the independent variable had no effect?
a. a Type II error has occurred
b. error variance
c. randomization
d. a null finding has been obtained
e. power was low
Question 2
If statistical analyses show that the difference between condition means is larger than would be expected on the basis of error variance alone, a researcher will
a. accept the null hypothesis
b. reject the null hypothesis
c. fail to reject the null hypothesis
d. reject the experimental hypothesis
e. both a and d
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