Statistical & Hypothesis Tests: Using the One-sample T-test

Statistics    |    Intermediate
  • 11 Videos | 1h 42m 22s
  • Includes Assessment
  • Earns a Badge
One-sample T-tests are probably the single most commonly used type of hypothesis test. Through this course, learn to manually implement the one-sample T-test to know exactly how the p-value and test statistic are calculated. You'll examine various library implementations of the one-sample T-test and apply the test on data drawn from several different distributions. This course will also help you explore the non-parametric Wilcoxon signed-rank test, which is conceptually very similar to the one-sample T-test and helps estimate the median rather than the mean of that population without making assumptions about the population distribution. Upon completion of this course, you will be able to use the one-sample T-test as well as its non-parametric equivalent to evaluate both one-sided and two-sided hypotheses about the population mean or median.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    install various modules in python
    create a function to manually perform a T-test
    compare a manual one-sample T-test to a built-in test
    explore Laplace and Wald distributions with T-tests
    test data to see if it is normally distributed using Shapiro-Wilk and Anderson-Darling tests
  • perform T-tests on real-world data
    explore one-sided and two-sided T-tests
    perform the Wilcoxon signed-rank test to compare medians
    test medians using the Wilcoxon signed-rank test
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 56s
    UP NEXT
  • Playable
    2. 
    Installing Modules
    6m 54s
  • Locked
    3. 
    Setting up a Manual One-sample T-test
    12m 44s
  • Locked
    4. 
    Performing T-tests Using Different Libraries
    10m 23s
  • Locked
    5. 
    Performing T-tests on Data with Different Distributions
    12m 10s
  • Locked
    6. 
    Testing for Normal Distributions Using Statistical Tests
    12m 34s
  • Locked
    7. 
    Exploring T-tests with Real-world Examples
    10m 40s
  • Locked
    8. 
    Using Single-sided T-tests
    10m 49s
  • Locked
    9. 
    Running the Wilcoxon Signed-rank Test
    9m 40s
  • Locked
    10. 
    Comparing Medians Using the Wilcoxon Signed-rank Test
    8m 27s
  • Locked
    11. 
    Course Summary
    1m 36s

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