Lecture 1: Introduction to Probability and Set Theory |
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Lecture 2: Probability Rules |
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Lecture 3: Conditional Probability |
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Lecture 4: Multiplication Rule |
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Lecture 5: Example and Quiz Day 1 |
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Lecture 6: Independence |
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Lecture 7: Bayes Rule |
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Lecture 8: Basic Counting Rules and Permutations |
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Lecture 9: Multinomial Coefficient and Combinations |
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Lecture 10: Example and Quiz Day 2 |
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Lecture 11: Random Variables and Prob. Mass Functions |
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Lecture 12: Expected Values and Variance |
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Lecture 13: Example and Quiz Day 3 |
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Lecture 14: Bernoulli and Binomial Distributions |
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Lecture 15: Exam 1 Review |
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Lecture 16: Hypergeometric Distribution |
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Lecture 17: Poisson Distribution |
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Lecture 18: Geometric Dist. w/ Tail & Memoryless |
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Lecture 19: Example and Quiz Day 4 |
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Lecture 20: Negative Binomial Distribution |
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Lecture 21: Nested Problem |
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Lecture 22: Continuous RV, PDF and CDF |
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Lecture 23: Example and Quiz Day 5 |
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Lecture 24: Uniform Distribution |
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Lecture 25: Exponential Distribution |
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Lecture 26: Example and Quiz Day 6 |
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Lecture 27: Poisson Process |
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Lecture 28: Exam 2 Review |
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Lecture 29: Normal Distribution |
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Lecture 30: Empirical Rules |
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Lecture 31: More on Normal Distribution |
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Lecture 32: Measures of Center, 5 Number Summary |
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Lecture 33: More on Numeric Summary |
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Lecture 34: Summarizing Data |
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Lecture 35: Example and Quiz Day 7 |
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Lecture 36: Graphical Summaries |
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Lecture 37: Chi-Square Analysis |
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Lecture 38: Example and Quiz Day 8 |
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Lecture 39: More on Regression, Correlation |
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Lecture 40: Regression Examples |
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Lecture 41: Final Review |
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