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3 Cards in this Set
- Front
- Back
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Difference between Parametric and Nonparametric statistics?
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Parametric-require certain assumptions about the parameters of the raw score population represented by the sample data
Nonparametric: do not require assumptions about the parameters of the raw score population represented by the sample data. |
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Describe the two types of statistical hypothesis:
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null hypothesis: describes the population parameters that the sample data represent if the predicted relationship does not exist. Hypothesis of "no difference"
alternate hypothesis: describes the population parameters that the sample data represent if the predicted relationship exists--the hypothesis of difference. Experiment worked as predicted. |
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Describe the difference between independent and independent variable.
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Independent variable: the variabe that is changed or manipulated by the experimenter.
Dependent variable; used to measure a participant's behaviore under each condition--"depends on" the condition. |
