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t- and F-tests

t- and F-tests. Testing hypotheses. Overview. Distribution& Probability Standardised normal distribution t-test F-Test (ANOVA). Starting Point. Central aim of statistical tests: Determining the likelihood of a value in a sample, given that the Null hypothesis is true : P(value|H 0 )

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3.05k views • 26 slides

Introduction to the Analysis of Variance (ANOVA)

Introduction to the Analysis of Variance (ANOVA). Single-Factor Independent-Measures Design. A diagram of a single-factor, independent-measures research design is shown in the figure. Notice that a separate sample is taken for each of the three treatment conditions.

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439 views • 26 slides

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Set 1 set 2 - PowerPoint PPT Presentation

t- and F-tests

Introduction to the Analysis of Variance (ANOVA)