Hypothesis Testing

Course Overview

• Course Title: Hypothesis Testing
• Instructor: Robert (Bob) Steele
• Target Audience: Students and professionals interested in inferential statistics, data analysis, and decision-making.
• Prerequisites:
  • Comfort with elementary algebra and interpreting mathematical expressions.
  • Familiarity with basic probability concepts and rules.
  • Ability to interpret and construct graphs, such as histograms and box plots.

Curriculum Highlights

• Key Topics Covered:

  • Identifying key components of hypothesis testing.
  • Explaining different types of hypothesis tests.
  • Applying hypothesis testing framework to real-world data.
  • Analyzing results of hypothesis tests.
  • Evaluating outcomes and risks in hypothesis tests.
  • Creating clear reports of statistical findings.

• Key Skills Learned:

  • Constructing testable statements about population parameters.
  • Understanding statistical significance and hypothesis rejection.
  • Interpreting p-values and confidence levels.
  • Performing one-sample and two-sample t-tests.
  • Conducting z-tests for population proportions.
  • Applying hypothesis testing to research and business problems.
  • Evaluating reported hypothesis test results.

Course Format

• Duration: 4 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 1 article
  • 1 downloadable resource
  • Access on mobile and TV
  • Certificate of completion