sallyhuangimperial/further_hypothesis_testing

Imperial College London / Graduate School / Data Science / Further Hypothesis Testing

Further Hypothesis Testing

Building on the material covered by Introduction to Sampling and Hypothesis Testing, this workshop will introduce a range of commonly used hypothesis tests.

The following topics will be covered:

• The t-test
• Comparing variances
• ANOVA
• Chi-squared test
• Testing for normality
• Correcting for multiple tests
• Goodness of fit

Instructions

Download this repository to your computer as a ZIP file and unpack it.

Open JupyterLab (within Anaconda) and navigate to the unpacked directory to load the notebooks.

Alternatively, you can run the notebooks online using Binder:

Evaluation

Your feedback is very important to the Graduate School as we are continually trying to improve the training we offer.

At the end of the course, please help us by completing the evaluation form at http://bit.ly/computingdatascience1920

---

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.