Fill in the blanks with the word or phrase that best completes each sentence.
|
1 | | According to the , a distribution of sample means will approximate a normal distribution even if the distribution of scores from the population is skewed. |
|
|
2 | | The number of scores that are free to vary in a sample of a given size with a known mean is known as the . |
|
|
3 | | statistics have no assumptions concerning the distribution of scores underlying your data. |
|
|
4 | | If you decided not to reject the null hypothesis and it was, in fact, false, you have committed a error. |
|
|
5 | | The that you adopt is really the probability that the observed difference between your sample means could have occurred purely through sampling error. |
|
|
6 | | List two of the three assumptions underlying parametric statistics:
1.
2. |
|
|
7 | | In the analysis of variance, the total variance is partitioned into and . |
|
|
8 | | If you have specific, preexperimental hypotheses about which of your multiple groups differ, you can forgo an overall ANOVA in favor of . |
|
|
9 | | is the error rate that takes into account the probability of making at least one Type I error as the number of comparisons increases. |
|
|
10 | | A(n) between variables indicates that your variables are related in a complex manner. |
|
|
11 | | According to the text, two drawbacks to using nonparametric statistics are and . |
|
|
12 | | Reducing alpha (for example, from .05 to .01) leads to a(n) in power. |
|
|
13 | | tells you the probability of your findings if chance alone is operating, whereas refers to how “important” your findings are. |
|
|
14 | | A(n) changes the magnitude of the numbers in a distribution but not the scale of measurement. |
|
|
15 | | Some researchers advocate the use of as a reasonable substitute for inferential statistics for testing the reliability of data. |
|