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Significance tests (hypothesis testing)

This course contains 5 segments:

The idea of significance tests

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This course contains 5 segments:

The idea of significance tests

This tutorial gives some intuition for how we go through a significance test, what a p-value is, how we make conclusions, and what types of error we may make in our conclusions.

Error probabilities and power

Tests about a population proportion

These significance tests tell us if a sample offers convincing evidence that a population proportion is different from some hypothesized value.

Tests about a population mean

These significance tests tell us if a sample offers convincing evidence that a population mean is different from some hypothesized value.

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Time
2 hours
Via
Khan Academy
This course belongs to a collection called Statistics and probability. It's comprised of 16 courses:
  1. Probability
  2. Counting, permutations, and combinations
  3. Random variables
  4. Sampling distributions
  5. Confidence intervals
  6. Significance tests (hypothesis testing) (viewing)
  7. Two-sample inference for the difference between groups
  8. Inference for categorical data (chi-square tests)
  9. Advanced regression (inference and transforming)
  10. Analysis of variance (ANOVA)
  11. Displaying and comparing quantitative data
  12. Analyzing categorical data
  13. Summarizing quantitative data
  14. Modeling data distributions
  15. Exploring bivariate numerical data
  16. Study design
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