You’ll learn why real-life results often don’t match what probability predicts, especially in the short term. By the end, you’ll understand when to trust probability, when not to, and how to interpret outcomes more realistically.
Overview
Syllabus
- Unit 1: Distinguishing Probability and Real Outcomes
- Matching Probability Statements And Sources
- Finding Observed Frequency
- Classifying Probability Statements
- Interpreting Coin Flip Results
- Unit 2: Why Small Samples Can Be Misleading
- Judging Chance or Something More
- Considering Before Jumping to Conclusions
- Evaluating Small Sample Claims
- Comparing Restaurant Ratings
- Unit 3: Understanding How Results Stabilize Over Time
- Matching Sample Results To Stability
- Spotting Plausible Results
- Comparing Sample Reliability
- Trusting the Numbers
- Unit 4: Identifying When Outcomes are Independent
- Deciding Whether Events are Independent or Not
- Determining Independence of Each Event
- Completing the Statements
- Responding to Spinner Claim