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

Till then, Stay Connected

Connect with me on :

Linkedin: https://www.linkedin.com/in/patidarparas13/

Twitter: https://twitter.com/patidarparas13

MLAIT On Twitter: https://twitter.com/mlait1908

MLAIT On Linkedin: https://www.linkedin.com/company/mlait1908

MLAIT On Telegram: https://t.me/mlait

MLAIT On WhatsApp: https://chat.whatsapp.com/IDTD8ONgeZw2InepJEKrM7