Course Overview
- Course Title: Probability-The Engine of Inference
- Instructor: Robert (Bob) Steele
- Target Audience:
- Students with basic math skills
- Individuals with logical thinking and problem-solving skills
- Those interested in data and decision-making
- Prerequisites:
- Basic Math Skills: Foundational understanding of algebra, including fractions, percentages, and solving simple equations
- Logical Thinking and Problem-Solving Skills: Comfortable analyzing problems and thinking critically
- Interest in Data and Decision-Making: Curiosity about probability and statistics in everyday situations
Curriculum Highlights
- Key Topics Covered:
- Definitions of probability, randomness, sample space, and event probabilities
- Relationship between probability and statistics
- Probability principles and real-world problem-solving
- Risk and uncertainty analysis
- Evaluation of probabilistic models and inductive reasoning
- Structured decision-making processes incorporating probability
- Basics of probability and its relationship to statistics
- Inductive reasoning and statistical inferences
- Real-world examples and thought experiments involving randomness
- Pascal’s Wager and expected value
- Complementary, independent, and mutually exclusive events
- Sample spaces and event probabilities
- Role of expected value in evaluating risks
- Central limit theorem and sample sizes
- Key Skills Learned:
- Defining key concepts of probability
- Explaining the relationship between probability and statistics
- Applying probability principles to real-world problems
- Analyzing risk and uncertainty
- Evaluating probabilistic models
- Creating structured decision-making processes
Course Format
- Duration: 3.5 hours of on-demand video
- Format: Self-paced online course
- Resources:
- 1 article
- 1 downloadable resource
- Access on mobile and TV
- Certificate of completion