Parametric statistics are used when our data are measured on approximately interval, interval or ratio scales of measurement. No distinctions are made among these scales of measurement, although all parametric statistics have assumptions that must be met before proceeding with statistical analysis. The parametric statistics that we learned in class are listed below. This is not a complete list -- we did not learn advanced statistical techniques.
Parametric Statistics
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Z Test
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One-Sample t
Test
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t
Test for Dependent Means
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t
Test for Independent Means
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One-Way Between Groups
ANOVA
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Simple Repeated Measures
ANOVA
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Factorial ANOVA
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Mixed Factorial
ANOVA
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Pearson r
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Bivariate Regression
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Multiple Regression
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In order to choose among these tests, we must next determine the number of samples in the study design and the relationship between samples.
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