Probability and Statistics IV: Confidence Intervals and Hypothesis Tests

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?"