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Hypothesis Testing

13 chapters ยท 1 files

In this course, you will learn about hypothesis testing, used for validating dataset hypotheses, along with techniques to test a hypothesis.

  • Hypothesis testing
  • One-tailed and two-tailed tests of hypothesis
  • Type I and type II errors
  • Decision rule, power of test and confidence intervals
  • Using z-value and p-value
  • Tests concerning population mean
  • Tests concerning equality of population mean
  • Tests concerning the mean difference of populations
  • Tests concerning variance of population
  • Non-parametric tests

Chapters

  1. 1What is Hypothesis TestingRead free
  2. 2Test Statistic, Type I and type II Errors, and Significance LevelRead free
  3. 3Decision Rule in Hypothesis TestingRead free
  4. 4p-Value in Hypothesis TestingRead free
  5. 5Selecting the Appropriate Test StatisticRead free
  6. 6Hypothesis Testing with t-statisticRead free
  7. 7Hypothesis Testing with z-statisticRead free
  8. 8Tests Concerning Differences in MeansRead free
  9. 9Paired Comparision Tests - Mean Differences When Populations are Not IndependentRead free
  10. 10Hypothesis Tests Concerning VariancesRead free
  11. 11Chi-square Test โ€“ Test for value of a single population varianceRead free
  12. 12F-test - Test for the Differences Between Two Population VariancesRead free
  13. 13Non-parametric TestsRead free

Practice quizzes

Files

  • Hypothesis Testing

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