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
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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.
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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