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According to the , a distribution of sample means will approximate a normal distribution even if the distribution of scores from the population is skewed. |
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The number of scores that are free to vary in a sample of a given size with a known mean is known as the . |
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statistics have no assumptions concerning the distribution of scores underlying your data. |
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If you decided not to reject the null hypothesis and it was, in fact, false, you have committed a error. |
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The that you adopt is really the probability that the observed difference between your sample means could have occurred purely through sampling error. |
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The hypothesis stating that sample means were drawn from different populations is called the . |
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In the analysis of variance, the total variance is partitioned into variation and variation. |
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If you do not have specific, preexperimental hypotheses about which of your multiple groups differ, must do . |
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is the error rate that takes into account the probability of making at least one Type I error as the number of comparisons increases. |
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A(n) between variables indicates that your variables are related in a complex manner. |
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Generally speaking, nonparametric statistics are than parametric statistics. |
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Reducing alpha (for example, from .05 to .01) leads to a(n) in power. |
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tells you the probability of your findings if chance alone is operating, whereas refers to how "important" your findings are. |
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A(n) changes the magnitude of the numbers in a distribution but not the scale of measurement. |
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Some researchers advocate the use of as a reasonable substitute for inferential statistics for testing the reliability of data. |
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