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.