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.
Filter Courses within "Statistics Confidence Intervals and Hypothesis Tests Professional Certificate" (Click to filter)
Probability and Statistics IV: Confidence Intervals and Hypothesis Tests (edX) EdX
Georgia Institute of Technology,GTx

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

Dive into the world of statistical analysis with our Probability and Statistics IV course, where you'll learn essential methodologies like constructing confidence intervals and conducting hypothesis tests. Gain the skills needed to make reliable predictions and validate research hypotheses effectively.

Self Paced
Self-Paced
Probability and Statistics III: A Gentle Introduction to Statistics (edX) EdX
Georgia Institute of Technology,GTx

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

Dive into the world of statistics with 'Probability and Statistics III: A Gentle Introduction to Statistics' on edX. This course is designed for beginners who want to understand key statistical principles. Explore essential topics like probability distributions, the pivotal Central Limit Theorem, and foundational descriptive statistics. Gain insights into how data can be effectively analyzed and interpreted.

Self Paced
Self-Paced
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