How to test a hypothesis
After watching the video, you can recognise the five steps to testing a hypothesis. Testing a hypothesis requires data scientists to perform statistical analysis tests on the actual data set. There are different types of statistical tests that can be used for hypothesis testing.
In case you are eager to learn more about the process of hypothesis testing and the different types of tests you can use, read the article Hypothesis testing for data scientists [1], where the author describes the hypothesis testing process in the data science context in detail.
Reflect
Respond to the following questions by sharing your responses in the comments section:
- Which of the steps in hypothesis testing would be most challenging to you in your role as a data scientist, and why?
- What are the knowledge, skills, and mindsets you’ll need to acquire to overcome this challenge?
Next, you will have the opportunity to apply the learning that you have gained so far through a practical activity.
References
- Horsch A. Hypothesis testing for data scientists [Internet]. Towards data science; 2021 May 24. Available from: https://towardsdatascience.com/hypothesis-testing-for-data-scientists-everything-you-need-to-know-8c36ddde4cd2.
Introduction to Data Science for Business
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