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OpenLearning

Hypothesis Testing

via OpenLearning

Overview

Learn to articulate null and alternative hypotheses and apply them across various types of statistical tests in this comprehensive 20-hour course. Master the construction of confidence intervals for population parameters while developing a strong understanding of statistical sampling theory. Develop the skills to make informed decisions based on hypothesis test results within specific problem contexts by effectively utilizing significance levels, p-values, and confidence intervals to draw meaningful conclusions from your statistical analyses.

Syllabus

  • articulate null and alternative hypotheses and apply them to various types of hypothesis tests.
  • Construct confidence intervals for population parameters, indicating a strong grasp of statistical sampling theory.
  • provide informed decisions based on the results of hypothesis tests within the context of the problem being studied, by including the significance level, p-values, and confidence intervals.

Taught by

UTP Micro-Credential

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