Hey Developer’s, I’m back with a new topic which is Discrete and Continuous Probability in the series of statistics foundations.

### Quick Refresher

Rule of Subtraction: P(A) = 1 – P(A’)

Rule of Multiplication : P(A ∩ B) = P(A) P(B|A)

Rule of Addition : P(A ∪ B) = P(A) + P(B) – P(A ∩ B)

So, let’s get started …

### Discrete and Continuous Probability

Discrete Probability : Finite set of unique values

• Coin toss, die roll, number of fans in the house
• P(E) = 1/N given N possible events, assuming all events qually likely

Continuous Probability : Infinite set of values

• Person’s height, amount of rainfall in a day, speed of a car
• P(you are 1.22m tall) = 0 unless you round people’s height
• Instead, better to measure intervals, Ex: P(1.22 <h<1.23)

#### Next Post will be on Counting Sample Points

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