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STA 423 Non-parametric Statistics

HND2 levelSciences13 topics

STA 423 covers 13 topics. StudyPath paces them into daily study sessions that finish before your exam date, with practice questions and worked answers for each one.

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Course outline

The topics this course covers, in teaching order.

  1. Introduction to non-parametric testing
  2. Advantages and disadvantages of non-parametric methods
  3. Binomial test
  4. Chi-square one-sample test
  5. One-sample runs test
  6. Kolmogorov-Smirnov goodness-of-fit test
  7. Sign test
  8. Wilcoxon matched-pairs signed-rank test
  9. Median test
  10. Mann-Whitney test
  11. Mann-Whitney V-test
  12. Kolmogorov-Smirnov two-sample test
  13. Runs test

A sample from this course

One topic, as StudyPath teaches it.

Introduction to non-parametric testing

Non‑parametric tests are statistical procedures that do not assume a specific population distribution, making them ideal when data violate normality, have ordinal scales, or involve small samples. Mastering these tests—such as the sign test, Wilcoxon signed‑rank test, Mann‑Whitney U, Kruskal‑Wallis, and Friedman test—helps you choose the right method, interpret results correctly, and avoid common pitfalls in exam…

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