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0:07:18
05-07. Continuous random variables (exercise 5.40) - Function of a random variable.
0:13:10
05-06. Continuous random variables (exercise 5.32) - Memoryless property of the exponential.
0:12:34
05-05. Continuous random variables (exercise 5.13) - The uniform random variable.
0:08:53
05-04. Continuous random variables (exercise 5.8) - From density function to expected value.
0:08:59
05-03. Continuous random variables (exercise 5.5) - From density function to probability.
0:14:02
05-02. Continuous random variables (exercise 5.1) - Cumulative distribution function.
0:06:04
05-01. Continuous random variables (exercise 5.3) - Checking the density function conditions.
0:06:38
04-13. Discrete random variables (exercise 4.78) - Geometric and time to the first success.
0:08:14
04-12. Discrete random variables (exercise 4.61) - Poisson and number of full houses.
0:07:24
04-11. Discrete random variables (exercise 4.59) - Poisson and winning the lottery.
0:18:44
04-10. Discrete random variables (exercise 4.51) - Poisson and number of typos on a page.
0:17:11
04-09. Discrete random variables (exercise 4.49) - Binomial and number of heads and tails.
0:08:10
04-08. Discrete random variables (exercise 4.40) - Binomial and multiple choice exam.
0:38:33
04-07. Discrete random variables - Binomial and geometric, Poisson and exponential.
0:10:01
04-06. Discrete random variables (exercise 4.21) - Comparing expected values.
0:15:02
04-05. Discrete random variables (exercise 4.20) - Winning strategy at the game of roulette?
0:15:21
04-04. Discrete random variables (exercise 4.14) - How many times the first player wins?
0:10:45
09-12. Convergence and limit theorems - Stirling's formula using the central limit theorem.
0:18:51
09-10. Convergence and limit theorems - Law of large numbers and ruin at a fair game.
0:16:01
09-11. Convergence and limit theorems - Central limit theorem and large deviation estimates.
0:36:21
09-09. Convergence and limit theorems - Strong law of large numbers and ergodic theorem.
0:24:03
09-08. Convergence and limit theorems - Weierstrass theorem using Chebyshev's inequality.
0:09:53
09-07. Convergence and limit theorems - Markov's inequality and Chebyshev's inequality.
0:10:00
09-06. Convergence and limit theorems - Convergence in probability and convergence almost surely.
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