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Notes › Electrical Engineering

EENG 3421: Probability and Statistics for Engineers

Spring 2026

Lectures

  1. Random Variables and Experiments
  2. Relative Frequency and Conditional Probability
  3. Law of Total Probability and Bayes' Theorem
  4. Independence and Tree Diagrams
  5. Basic Counting Principles
  6. Reliability Analysis
  7. Probability Mass Functions
  8. Families of Discrete Random Variables
  9. Cumulative Distribution Function
  10. Averages and Expected Value
  11. Functions of a Random Variable
  12. Expected Value of a Derived Random Variable
  13. Variance and Standard Deviation
  14. Continuous Random Variables
  15. More on Cumulative Distribution Function
  16. Probability Density Function
  17. Expected Values
  18. Families of Continuous Random Variables
  19. Gaussian Random Variables
  20. Event-Conditioned Random Variables
  21. Conditional Expected Values
  22. Basic Statistics
  23. Organization of Data
  24. Sampling Distributions and Estimation
  25. Estimation and Confidence Intervals
  26. Mean Hypothesis Tests
  27. Inference Tests for Two Means
  28. One-Way Analysis of Variance

Sources

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