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”?

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Preguntas frecuentes
*What if I don’t remember much basic probability and statistics?
Answer: You can take the companion courses, “A Gentle Introduction to Probability”, “Random Variables – Great Expectations to Bell Curves”, and “A Gentle Introduction to Statistics”, which will get you going at light speed!
*Will there be much programming?
Answer: A little, but you’ll be handle that in Excel or Matlab or whatever your favorite programming application is. We also go over a couple of R demos, but those will be self-contained.
*What is the largest prime number to ever appear in the tile of a Top-40 song?
Answer: 8675309 (by Tommie Tutone)