Table of Contents

  1. Probability Theory
  2. Seven Problems
  3. Conditional Probability
  4. Probability Rules
  5. Probability Tools
  6. Bayes Theorem
  7. Random Variables and Probability Distributions
  8. Law of Large Numbers
  9. Central Limit Theorem
  10. Mendel’s Theory of Heredity
  11. Epistemic Probability
  12. Probability Arguments
Probability Theory
  • Probability Theory is the formal theory of probability
  • Developed in 1654 by French mathematicians Pierre de Fermat and Blaise Pascal, Probability Theory is used in physics, genetics, statistics, the social sciences, decision theory, investment analysis, actuarial forecasting, risk assessment, and blocking spam.
  • These pages set forth basic probability theory by solving seven problems of increasing difficulty. The last is the infamous Monty Hall problem, gotten wrong by hundreds of PhDs.
Seven Problems
  1. Aces and Hearts
    • What’s the probability of randomly picking the ace of hearts from a standard deck of 52 cards?
    • Also, what are the probabilities of selecting an ace, a heart, an ace or a heart, neither ace nor heart, a red or black card, a black heart?
    • View Aces and Hearts
  2. Flipping Coins
    • A normal coin is randomly flipped three times in a row; what’s the probability of three heads?
    • Three coins are tossed simultaneously; what’s the probability of three heads?
    • View Flipping Coins
  3. With and Without Replacement
    • Three cards are randomly selected from a standard deck.  What’s the probability they’re all hearts given that the cards are selected:
      • Consecutively with replacement
      • Consecutively without replacement
      • Simultaneously
    • View With and Without Replacement
  4. Sixes
    • Three dice are tossed. What’s the probability of rolling:
      • Three sixes
      • At least one six
      • Exactly one six
    • View Sixes
  5. Cell Phones and Day Packs
    • Among 1,000 students 400 have cell phones (C), 300 daypacks (D), and 350 neither. What are the following probabilities for a randomly selected student: P(C&D), P(~C&~D), P(C), P(D), P(CvD), P(~C), P(D|C), P(C|D).
    • View Cell Phones and Day Packs
  6. Random Drug Test
    • You’re given a random drug test that’s 95 percent reliable, meaning 95 percent of drug users test positive and 95 percent of non-drug users test negative.   Assume five percent of the population takes drugs. You test positive. What’s the probability you use drugs?
    • View Random Drug Test
  7. Monty Hall
    • You’re a contestant on a game show and asked to choose one of three closed doors.  Behind one door is the car of your dreams; behind the others, goats. You pick a door, Door 1, say, and the host, knowing what’s behind each door, opens one of the other doors, Door 3 for example, revealing a goat. (He always opens a door with a goat.)  He then gives you the option of changing your selection to Door 2. Do you have a better chance of winning if you switch; or are the odds the same?
    • View Monty Hall
Conditional Probability
  • Conditional probability is the probability of something given that something else is the case.
  • Notation
    • “P(….. | —–) = n” means that the probability that ….. given that —– equals n.
  • The probability of randomly drawing a King from a standard deck of 52 cards is 4/52 = 1/13
    • That is, P(King) = 1/13
  • But the probability of drawing a King given that the card is a Face Card is 1/3, since there are 4 Kings and 12 Face Cards.
    • That is, P(King | Face Card) = 1/3, where “|” means “given that.”
  • The formal definition of conditional probability is
    • P(A|B) = P(A&B) / P(B), where P(B) > 0
  • Thus, P(King | Face Card) = P(King & Face Card) / P(Face Card) = (4/52) / (12/52) = 4/12 = 1/3.
  • P(A|B) is not P(B|A)
    • P(King | Face Card) = 1/3
    • But P(Face Card | King) = 1
Probability Rules
Probability Tools
Bayes Theorem

The core idea of Bayes Theorem is that the probability of a hypothesis given the evidence is, in part, a function of the probability of the evidence given the hypothesis.

View Bayes Theorem

Random Variables and Probability Distributions

View Random Variables and Probability Distributions

Law of Large Numbers

View Law of Large Numbers

Central Limit Theorem

View Central Limit Theorem

Mendel’s Theory of Heredity

Mendel’s Theory uses probability theory to make predictions

View Mendel’s Theory of Heredity

Epistemic Probability

The epistemic probability of a proposition is how reasonable it is to believe relative to a body of knowledge.

View Epistemic Probability

Probability Arguments

View Probability Arguments