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Power & Sample Size in R

statisticsmatt via YouTube

Overview

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This course demonstrates power and sample-size calculations in R for t tests, variance tests, one-way ANOVA, binomial tests, correlation, sign tests, and Hotelling's T².

Syllabus

Power & Sample Size in R: One Sample t Test.
Power & Sample Size in R: 2 Sample t Test Equal Var Equal n per Group.
Power & Sample Size in R: 2 Sample t Test Equal Var Unequal n per Group.
Power & Sample Size in R: Paired t Test.
Power & Sample Size in R: Comparing 2 Variances (Normal Data).
Power & Sample Size in R: Balanced 1 way ANOVA.
Power & Sample Size in R: Unbalanced 1 way ANOVA.
Unbalanced 1 Way ANOVA F Test Statistic.
Power & Sample Size in R: 2 Sample Binomial Test Equal N per Group.
Power & Sample Size in R: 2 Sample Binomial Test Unequal N per Group.
Derivation of the Sample Size Formula for McNemar's Test.
Power & Sample Size in R: Multiple Correlation Coefficient.
Power and Sample Size in R: Multivariate Sign Test.
When calculating sample size, why can we assume, WOLG, that the population variances are equal to 1?.
Power and Sample Size in R: Hotelling's T^2 (part 1).
Power and Sample Size in R: Hotelling's T^2 (part 2).

Taught by

statisticsmatt

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