8.2 The Geometric Distribution

Definition: “The Geometric Setting” : Definition: “The Geometric Setting” : A situation is said to be a “GEOMETRIC SETTING”, if the following four conditions are met: 1. Each observation is one of TWO possibilities - either a success or failure. 2. All observations are INDEPENDENT. 3. The probability of success (p), is the SAME for each observation. 4. The variable of interest is the number of trials required to obtain the FIRST success.

8.2 The Geometric Distribution Example 8.15: ROLL A DIE Example 8.15: ROLL A DIE Example 8.16: DRAW AN ACE Example 8.16: DRAW AN ACE

8.2 The Geometric Distribution A Rule for Calculating Geometric Probabilities: A Rule for Calculating Geometric Probabilities: If X has a Geometric Distribution with probability p of success and (1-p) of failure on each observation, the possible values of X are 1, 2, 3, …. If n is any one of these values, the probability that the first success occurs on the nth trial is: If X has a Geometric Distribution with probability p of success and (1-p) of failure on each observation, the possible values of X are 1, 2, 3, …. If n is any one of these values, the probability that the first success occurs on the nth trial is: Example 8.17: ROLL A DIE part 2 Example 8.17: ROLL A DIE part 2

8.2 The Geometric Distribution The Geometric Expected Value, Variance and Standard Deviation The Geometric Expected Value, Variance and Standard Deviation Example 8.18: ARCADE GAME Example 8.18: ARCADE GAME

8.2 The Geometric Distribution Special Formula: The probability of waiting more than n observations for a first success. Special Formula: The probability of waiting more than n observations for a first success.

8.2 The Geometric Distribution Example 8.20: SHOW ME THE MONEY Example 8.20: SHOW ME THE MONEY $1 = {01, 02, 03, 04, 05} $1 = {01, 02, 03, 04, 05} Empty = {00, 06 through 99} Empty = {00, 06 through 99} Each student simulate a set until you have a success. Each student simulate a set until you have a success. Let’s calculate the expected value and standard deviation. Let’s calculate the expected value and standard deviation.