Statistics Confidence Intervals and Hypothesis Tests Professional Certificate

What you will learn:
- Review a library of discrete and continuous probability distributions.
- Meet the normal distribution and the Central Limit Theorem, and discover how they are applied in practice.
- Recognize elementary methods of descriptive statistics.
- Study methods that can be used to estimate the unknown parameters of a distribution.
- Learn what confidence intervals are, how they are used, and how to formulate and interpret confidence intervals for a variety of probability distributions and their parameters.
- Learn what hypothesis tests are, how they are used, and the types of errors that can occur with hypothesis testing.
- Formulate and interpret hypothesis tests for a variety of probability distributions and their parameters.

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Probability and Statistics III: A Gentle Introduction to Statistics (edX)

This course provides an introduction to basic statistical concepts. We begin by walking through a library of probability distributions – including the normal distribution, which in turn leads to the Central Limit Theorem. We then discuss elementary descriptive statistics and estimation methods.

Probability and Statistics IV: Confidence Intervals and Hypothesis Tests (edX)

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 [...]