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Articles tagged with guide in Stats and Cats.

  • Understanding p-values

    What a p-value actually measures, the three most common misreadings, and why 0.05 is a convention rather than a fact about the world.

  • Multiple Comparisons

    Why testing many hypotheses inflates the false positive rate, and how family-wise error rate and false discovery rate corrections address the problem.

  • Sample Size Calculation

    How to calculate required sample size for a two-sample t-test and a chi-square test, given a target effect size, significance level, and power.

  • Choosing a Statistical Test

    A structured decision guide for selecting the right statistical test. Covers one-sample, two-sample, multi-group, and association tests for parametric and nonparametric situations.

  • Effect Size and Statistical Power

    How to measure and interpret Cohen's d, eta-squared, and r. What statistical power means, what determines it, and why it belongs before data collection.

  • Reading Statistical Output

    How to interpret the output tables from three common analyses: independent samples t-test, one-way ANOVA, and simple linear regression.

  • Sampling Methods

    Simple random, stratified, cluster, systematic, and convenience sampling: when each is used, what it assumes, and what conclusions it licenses.

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