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Topic Description
Hypothesis testing Assistance with formulating hypotheses, conducting tests, and interpreting results.
Type I and Type II errors Understanding the concept of false positives and false negatives in hypothesis testing.
Power Analysis and calculation of statistical power to detect meaningful effects.
Effect size Measurement and interpretation of the magnitude of relationships or differences.
Parametric and non-parametric tests Application of appropriate statistical tests based on data characteristics.
Multiple comparisons Handling and adjusting for the inflation of Type I error rates with multiple tests.
Correlational analysis Examining relationships and associations between variables using correlation techniques.
Regression analysis Analyzing the relationship between a dependent variable and one or more predictors.

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