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12 Cards in this Set
- Front
- Back
probability |
a fraction or a proportion of all the possible outcomes. probability of A= number of outcomes classified as A/ total number of possible outcomes |
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random sampling |
requires that each individual has an equal chance of being selected and that the probability of being selected stays constant from one selection to the next if more than one individual is selected. |
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sampling distribution |
a distribution of statistics obtained by selecting all of the possible samples of a specific size from a population |
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distribution of sample means |
the collection of sample means for all of the possible random samples of a particular size (n) that can be obtained from a population
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sampling error |
the natural discrepancy or amount of error, between a sample statistic and its corresponding population parameter |
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standard error |
standard error is the standard deviation of the distribution of sample means. measures the standard distance between a sample mean (M) and the population mean. tells how much error to expect if you are using a sample mean to represent a population mean |
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standard deviation |
provides measure of the standard or average, distance from the mean |
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alpha level |
the level of significance, the probability value that is used to define the concept of "very unlikely" in a hypothesis test |
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effect size |
intended to provide a measurement of the absolute magnitude of a treatment effect, independent of the size of the sample(s) being used |
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cohen's d |
mean difference/ standard deviation |
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statistical power |
the probability that the test will correctly reject a false null hypothesis. the probability that the test will identify a treatment effect if one really exists |
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when is a power analysis conducted? |
before the actual conducted research study |