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Hypothesis Testing in R

Richie Cotton

Data Evangelist at DataCamp

You learned things

Chapter 1

  • Workflow for testing proportions vs. a hypothesized value.
  • False negative/false positive errors.

Chapter 3

  • Testing differences in sample proportions between two groups using proportion tests.
  • Using chi-square independence/goodness of fit tests.

Chapter 2

  • Testing differences in sample means between two groups using t-tests.
  • Extending this to more than two groups using ANOVA and pairwise t-tests.

Chapter 4

  • Reviewing assumptions of parametric hypothesis tests.
  • Examined nonparametric alternatives when assumptions aren't valid
Hypothesis Testing in R

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Let's practice!

Hypothesis Testing in R

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