Counting – Probability: Basic Definitions – Equally Likely Outcomes – Independence – Conditional Probability – The Law of Total Probability – The Bayes Formula – Discrete Distributions – Mean and Variance – Joint Distributions – Binomial Distribution – Multinomial Distribution – Geometric Distribution – Poisson Distribution – Density Functions – The Normal Distribution – The Uniform Distribution – The Exponential Distribution – The Law of Large Numbers – The Central Limit Theorem

### Course Curriculum

 Lecture #1 Details 44:25 Lecture #2 Details 48:56 Lecture #3 Details 51:54 Lecture #4 Details 49:35 Lecture #5 Details 49:37 Lecture #6 Details 48:59 Lecture #7 Details 38:53 Lecture #8 Details 50:2 Lecture #9 Details 49:36 Lecture #10 Details 51:18 Lecture #11 Details 40:42 Lecture #12 Details 41:19 Lecture #13 Details 43:50 Lecture #14 Details 47:4 Lecture #15 Details 51:24 Lecture #16 Details 50:19 Lecture #17 Details 51:22 Lecture #18 Details 49:8 Lecture #19 Details 49:40 Lecture #20 Details 48:1 Lecture #21 Details 53:9 Lecture #22 Details 49:50 Lecture #23 Details 40:44 Lecture #24 Details 49:16 Lecture #25 Details 48:30 Lecture #26 Details 49:1 Lecture #27 Details 44:12 Lecture #28 Details 45:20
2 STUDENTS ENROLLED