
Lecture Description
In this video I will find the odds in favor of and odds against in a game of roulette.
Next video in series:
youtu.be/k5Da9CV7c_w
Course Index
- Random Variable
- Random Variable - Terminology Review
- Random Variable - Ex. 1: Flipping Coins
- Types of Random Variable
- Probability Distribution (Discrete)
- Probability Distribution (Discrete)
- Probability Distribution (Non-Discrete)
- Probability Distribution: Histogram
- Probability Dist: Skewed Histogram
- Continuous Random Variables
- The Mean Average
- The Expected Value Ex. 1
- The Expected Value Ex. 2
- The Expected Value Ex. 3
- Expected Value of Roulette
- Odds of Roulette
- Odds in Favor & Against Ex. 1
- Odds in Favor & Against Ex. 2
- Odds in Favor & Against Ex. 3
- Odds in Favor & Against Ex. 4
- Mean, Median, Mode
- Mean, Median, Mode Ex. 2
- Mean, Median, Mode Ex. 3
- Mean, Median, Mode Ex. 4
- Expected Value - Example 1
- Expected Value - Example 2
- Expected Value - Example 3
- Variance Explained
- Variance (Probability Distribution)
- Standard Deviation
- Standard Deviation - 2
- Standard Deviation - 3
- Standard Deviation - 4
- Normal Distribution
- Normal Distribution Equation
- Normal Distribution Table
- Binomial Distribution
- Binomial Distribution: General Case
- Binomial Distribution: Example
- Binomial Distribution: Graphing
- Using Binomial Expansion
- Non-Symmetric Binomial Dist.
- The Expected Value
- Variance
- Binomial Distribution
- Standard Deviation n=large #
- Standard Deviation n=large #
- Calculating the Table
- Binomial Dist. - Approx.
- Binomial Dist. - Approx. 2
- Binomial Dist. - Approx. 3
- Binomial Dist. - Approx. 4
- Binomial Dist. - Approx. 5
Course Description
In this second series on Probability and Statistics, Michel van Biezen introduces the concept of random variables -- discrete and continuous -- and various types of probability distributions.
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