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a set of mathematical procedures for summarizing and interpreting observations |
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numerical or categorical facts about specific people or things |
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most fundamental branch of stats that is used to summarize or describe a set of observations |
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the branch of statistics used to interpret or draw inferences about a set of observations |
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the avergae of a set of observations |
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variability of a set of scores |
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the difference between the higest and lowest value in the entire set of scores |
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a special kind of average measure of how much a score in the sample differs from the sample mean |
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all the scorse in this distribution are about equally frequent/ probable (a single six- sided die) |
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when two distinct ranges of scores are more common than any other (the heights of athletes attending the annual sports banquet for a very large high school with only 2 sports teams: gymnastics and bball) |
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a symmetrical bell shaped distribution in which most scores cluster near the mean and in which scores become increasingly rare as they become increasingly distant from the mean (distributions of height, wesght, extroversion, ect) |
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begin by assuming that their own predictions are wrong |
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opposite of null hypothesis; the hyopthesis that any observed differences between the experimental and the control group are real |
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the statistcal equivalent of the princeiple of reasonable doubt that is the reasonable standard for rejecting the null hypothesis. |
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the number of all specific outcomes that qualify as the event in question divided by the total number of all possible outcomes. |
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incorrectly rejecting the null hypothesis when it is in fact correct |
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when we fail to reject an incorrect null hypothesis, that is when we fail to realize that our study has revealed something meaningful (usually that our hypothesis is correct) |
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indicators of the strength or magnitude of their effects |
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