Probability and Statistics IV: Confidence Intervals and Hypothesis Tests
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About this course
This course covers two important methodologies in statistics – confidence intervals and hypothesis testing. Confidence intervals allow us to make probabilistic statements such as: “We are 95% sure that Candidate Smith’s popularity is 52% +/- 3%.” Hypothesis testing allows us to pose hypotheses and test their validity in a statistically rigorous way. For instance, “Does a new drug result in a higher cure rate than the old drug?"
What you'll learn
- understanding confidence intervals
- applying hypothesis testing
- making probabilistic statements
Skills you'll gain
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