Statistical & Hypothesis Tests: Using Non-parametric Tests & ANOVA Analysis

Statistics    |    Expert
  • 15 videos | 2h 11m 29s
  • Includes Assessment
  • Earns a Badge
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Two-sample T-tests are great for comparing population means given two samples. However, if the number of samples increases beyond two, we need a much more versatile and powerful technique - analysis of variance (ANOVA). Use this course to learn more about non-parametric tests and the ANOVA analysis. In this course, you'll explore the different use cases for Mann-Whitney U-tests, the use of the non-parametric paired Wilcoxon signed-rank test, and perform pairwise T-tests and ANOVA. You'll also get a chance to try your hand at the non-parametric variant of ANOVA - Kruskal Wallis test and post hoc tests, such as Tukey's honestly significant difference test (HSD). After completing this course, you will be able to account for the effect of one or two independent categorical variables, each having an arbitrary number of levels, on a dependent variable using ANOVA.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    recognize the use of the Mann-Whitney U-test
    use the Mann-Whitney U-test
    set up data for the paired Wilcoxon signed-rank test
    compare the paired T-test and the paired Wilcoxon signed-rank test
    identify the pairwise T-test for multiple categories
    use the pairwise T-test to test for different means
    outline the use of one-way ANOVA analysis
  • outline one-way ANOVA and linear regression
    use Tukey’s HSD to know which categories differ significantly
    describe how ANOVA requires residuals to be normally distributed
    use the non-parametric Kruskal-Wallis test
    outline the use of the two-way ANOVA analysis
    use two-way ANOVA with interaction between the independent variables
    summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 49s
  • 9m 39s
  • Locked
    3.  Comparing Categories with the Mann-Whitney U-test
    7m 54s
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    4.  Using the Paired Wilcoxon Signed-rank Test
    9m 43s
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    5.  Comparing Paired T-test & Wilcoxon Signed-rank Test
    10m 35s
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    6.  Understanding Pairwise T-tests
    8m 26s
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    7.  Comparing Values across Groups with Pairwise T-tests
    9m 56s
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    8.  Understanding One-way ANOVA
    11m 6s
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    9.  Performing One-way ANOVA and Linear Regression
    11m 18s
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    10.  Performing the Post-hoc Tukey's HSD Test
    11m 14s
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    11.  Checking ANOVA Residuals' Assumptions
    9m 48s
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    12.  Using the Kruskal-Wallis Test
    9m 28s
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    13.  Understanding Two-way ANOVA
    9m 48s
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    14.  Performing Two-way ANOVA with Interaction
    7m 36s
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    15.  Course Summary
    3m 8s

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