1. Aprende
    2. /
  2. Cursos
    3. /
  3. Hypothesis Testing in R
  • 1

    Introduction to Hypothesis Testing

    Gratuito

    Learn why hypothesis testing is useful, and step through the workflow for a one sample proportion test. In doing so, you'll encounter important concepts like z-scores, p-p-values, and false negative and false positive errors. The Stack Overflow survey and late medical shipments datasets are introduced.

  • 2

    Two-Sample and ANOVA Tests

    Learn how to test for differences in means between two groups using t-tests, and how to extend this to more than two groups using ANOVA and pairwise t-tests.

  • 3

    Proportion Tests

    Learn how to test for differences in proportions between two groups using proportion tests, extended it to more than two groups with chi-square independence tests, and return to the one sample case with chi-square goodness of fit tests.

  • 4

    Non-Parametric Tests

    Learn about the assumptions made by parametric hypothesis tests and see how simulation-based and rank-based non-parametric tests can be used when those assumptions aren't met.

Initializing

Ejercicio

Rank sum tests

Another class of non-parametric hypothesis tests are called rank sum tests. Ranks are the positions of numeric values from smallest to largest. Think of them as positions in running events: whoever has the fastest (smallest) time is rank 1, second fastest is rank 2, and so on.

By calculating on the ranks of data instead of the actual values, you can avoid making assumptions about the distribution of the test statistic. It's most robust in the same way that a median is more robust than a mean.

Two commonly used rank-based tests are the Wilcoxon-Mann-Whitney test, which is like a non-parametric t-test, and the Kruskal-Wallis test, which is like a non-parametric ANOVA.

late_shipments is available.

Instrucciones 1/2

undefined XP
  • 1
    • Using the late_shipments dataset, run a Wilcoxon-Mann-Whitney test on the weight in kilograms versus whether or not the shipment was late.
  • 2
    • Using the late_shipments dataset, run a Kruskal-Wallace test on the weight in kilograms versus the shipment mode.