1. © 2002 Prentice-Hall, Inc.Chap 4-1 Bab 5 Distribusi Teoritis

2. © 2002 Prentice-Hall, Inc. Chap 4-2 Random Variable Outcomes of an experiment expressed numerically e.g.: Toss a die twice; count the number of times the number 4 appears (0, 1 or 2 times)

3. © 2002 Prentice-Hall, Inc. Chap 4-3 Discrete Random Variable Discrete random variable Obtained by counting (1, 2, 3, etc.) Usually a finite number of different values e.g.: Toss a coin five times; count the number of tails (0, 1, 2, 3, 4, or 5 times)

4. © 2002 Prentice-Hall, Inc. Chap 4-4 Probability Distribution Values Probability 01/4 =.25 12/4 =.50 21/4 =.25 Discrete Probability Distribution Example T T TT Event: Toss two coinsCount the number of tails

5. © 2002 Prentice-Hall, Inc. Chap 4-5 Discrete Probability Distribution List of all possible [X j, p(X j ) ] pairs X j = value of random variable P(X j ) = probability associated with value Mutually exclusive (nothing in common) Collectively exhaustive (nothing left out)

6. © 2002 Prentice-Hall, Inc. Chap 4-6 Discrete Probability Distributions BinomialHypergeometricPoisson