Applications of Probability
Hypothesis Testing
If you work directly with the data you are analyzing, you’ve likely make some assumptions of it, but in analysis, these need to be backed up by facts. Hypothesis testing lets you test what messages your data is actually sending you. This course will teach you how to conduct a wide variety of useful hypothesis tests.
Intermediate    9 Lessons    120 Minutes    CPD Credits
About This Course
You may assume certain behaviors of your clients, based on years of interaction with them, but you’ll need to back this up with proof in a data analysis project. In this course, you’ll learn how to apply hypotheses to your data to check for validity.
Across nine lessons, you’ll learn how to create and run simple hypotheses, test them for proportion and variance, and what this means for your own dataset.
By the end of the course, you should have a full understanding of how to create these assumptions and back them up with results.
Learning Outcomes
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Calculate probabilities from a normal distribution
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Set up and run a simple hypothesis test for a mean
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Test a hypothesis for a proportion
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Use a two-sample t-test
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Test the difference between variances
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Run an Analysis of Variance (ANOVA)
Lessons
1. Calculating Normal Probabilities
2. Setting Up a Hypothesis Test
4. Running a T-Test for the Mean
5. Testing a Hypothesis for a Proportion
6. Using the Two-Sample T-Test
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7. Testing the Difference Between Variances
8. Calculating Sum of Squares in ANOVA
9. Running an Analysis of Variance (ANOVA)
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