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CHAPTER 4 Probability Distributions
- 4.1 Random Variables
- 4.1 Kind of Random Variables 08:35
- 4.2 Probability Distributions 11:22
- 4.2 Example of Probability Distributions 22:37
- 4.2 Graphical presentation 03:08
- 4.2 Mean and Variance of Discrete Random Variable 08:18
- 4.2 Example of Mean and Variance 07:19
- 4.2 Cumulative Distributions 13:56
- 4.2 Important Example 16:40
- 4.3 Combination 19:50
- 4.3 Binomial Distribution 20:09
- 4.3 Example (High Blood Pressuer)
- 4.3 Example ( Low Hemoglobin Level) 09:51
- 4.4 Poisson Distribution 31:12
- 4.4 Unit of time for the avrage 21:43
- 4.4 First Example 22:26
- 4.4 Second Example 27:37
- 4.4 Third Example 06:23
- 4.4 Forth Example 04:03
- 4.5 Continuous Probability Distributions 11:18
- 4.6 Normal Distribution 10:05
- 4.6 Standard Normal Distribution 07:28
- 4.6 What We Are Going to Do ? 04:17
- 4.6 Calculating Probability of N(0, 1) 13:39
- 4.6 Using The Table in an Opposite Way 10:07
- 4.6 Important Result 06:29
- 4.6 Set of Examples 08:19
- 4.6 Transformation From Normal Distribution to Standard Normal Distribution 08:14
- 4.7 First Example (Normal Distribution Application) 06:30
- 4.7 Second Example (Normal Distribution Application) 08:14
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CHAPTER 4 Probability Distributions
