STAT225 Introduction to Probability Models

Course Info

• When: M, W, F : 1:30 pm to 2:20 pm, 2:30 pm to 3:20 pm
• Where: UNIV 017
• Course Instructuor: Qi Wang
• Email: qiwang@purdue.edu
• Office: MATH 541
• Office Hour: Hass Help Room or by appointment
• Textbook: Introduction to Probability by Mark Daniel Ward and Ellen Gundlach, 1st edition, W.H. Freeman
• Course Coordinator: Ce-Ce Furtner
• Course Website: STAT225
  • username: stat225
  • psw: fall2018

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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