[Statistics 101] (7) Probabilities – Basics

In this post, let’s learn the basics of Probabilities.


Probability

For a random experiment with n elementary outcomes: { O1, O2, O3, … , On}, we can assign a probability to each outcome.

The probability of the outcome Oi is written as Pr(Oi) or P(Oi).

  • P(Oi) ≥ 0
    • The probability is non-negative.
  • P(O1) + P(O2) + … + P(On) = 1
    • Total probability of all elementary outputs is ONE.

[Example] the throw of a single dice

  • P(1) = 1/6
  • P(2) = 1/6
  • P(3) = 1/6
  • P(4) = 1/6
  • P(5) = 1/6
  • P(6) = 1/6

Basic Operations

Given Events A and B, we can make new events.

  • P (A and B) : Both A and B occur.
  • P (A or B) : A or B (or both of them) occurs
  • P (not A) : A does not occur
  • Addition Rule
    • P (A or B) = P(A) + P(B) – P(A and B)
  • Subtraction Rule
    • P(not A) = 1 – P(A)
    • P(A) = 1 – P(not A)

[Example] the throw of two dices (black and white)

  • Event A : white dice is 1
  • Event B: black dice is 1
  • P(A) = 6/36 = 1/6
  • P(B) = 6/36 = 1/6
  • P(A and B) = 1/36
  • P(A or B) = P(A) + P(B) – P(A and B) = 6/36 + 6/36 – 1/36 = 11/36
  • P(not A) = 1 – P(A) = 1 – 1/6 = 5/6

Conditional Probability

The probability of an event A, given the condition that the event B already occurred, is written like this:

  • P(A | B) reads “the probability of A given B”

[Example] the throw of two dices (black and white)

  • Event A: the sum of the 2 dices are 3
    • P(A) = 2/36 = 1/18
      • { {1,2}, {2,1}}
  • The probability of an Event A when the white dice is already thrown and the value is one (Event B)
  • P(A|B) = 1/6
    • intuitively, the white is already 1 and the black should be 2
  • P(B) = 1/6
  • P(A and B) = 1/36
  • P(A|B) = P(A and B) / P(B) = (1/36) / (1/6) = 6/ 36 = 1/6

Multiplication Rules

P(A and B) = P(A│B)×P(B) = P(B│A)×P(A)

  • Special Case: when A and B are independent
    • P(A | B) = P(A)
    • P(A and B)= P(A) × P(B)

[Example] the throw of two dices (black and white)

  • Event A : white dice is 1
  • Event B: black dice is 1
  • Event C : the sum is 3
  • Event D: white dice is 1
  • P (A | B) = P (A and B) / P(B) = (1/36) / (1/6) = 1/6
  • P (A | B) = P(A) = P(B)
  • P(A and B) = P(A) * P(B) = (1/6) * (1/6) = 1/36
  • P (C | D) = P (C and D) / P(D) = (1/36) / (1/6) = 1/6
  • P(C) = 2/36 = 1/18
  • P(C|D) ≠ P(C)
  • P(C and D) = P(C|D) * P(D) = (1/6) * (1/6) = 1/36

Leave a Comment