STAT225 Introduction to Probability Models

Lecture Notes

Lecture pdf
Lecture 1: Introduction to Probability and Set Theory pdf
Lecture 2: Probability Rules pdf
Lecture 3: Conditional Probability pdf
Lecture 4: Multiplication Rule pdf
Lecture 5: Example and Quiz Day 1 pdf
Lecture 6: Independence pdf
Lecture 7: Bayes Rule pdf
Lecture 8: Basic Counting Rules and Permutations pdf
Lecture 9: Multinomial Coefficient and Combinations pdf
Lecture 10: Example and Quiz Day 2 pdf
Lecture 11: Random Variables and Prob. Mass Functions pdf
Lecture 12: Expected Values and Variance pdf
Lecture 13: Example and Quiz Day 3 pdf
Lecture 14: Bernoulli and Binomial Distributions pdf
Lecture 15: Exam 1 Review pdf
Lecture 16: Hypergeometric Distribution pdf
Lecture 17: Poisson Distribution pdf
Lecture 18: Geometric Dist. w/ Tail & Memoryless pdf
Lecture 19: Example and Quiz Day 4 pdf
Lecture 20: Negative Binomial Distribution pdf
Lecture 21: Nested Problem pdf
Lecture 22: Continuous RV, PDF and CDF pdf
Lecture 23: Example and Quiz Day 5 pdf
Lecture 24: Uniform Distribution pdf
Lecture 25: Exponential Distribution pdf
Lecture 26: Example and Quiz Day 6 pdf
Lecture 27: Poisson Process pdf
Lecture 28: Exam 2 Review pdf
Lecture 29: Normal Distribution pdf
Lecture 30: Empirical Rules pdf
Lecture 31: More on Normal Distribution pdf
Lecture 32: Measures of Center, 5 Number Summary pdf
Lecture 33: More on Numeric Summary pdf
Lecture 34: Summarizing Data pdf
Lecture 35: Example and Quiz Day 7 pdf
Lecture 36: Graphical Summaries pdf
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