# Statistics Ch 9

Home > Preview

The flashcards below were created by user firefly501 on FreezingBlue Flashcards.

1. random
if individual outcomes are uncertain, but there is nonetheless a regular distribution of outcomes in a large number of repetitions.
2. probability
of any outcome of a random phenomenon can be defined as the proportion of times the outcome would occur in a very long series of repetitions.
3. Probability models
Mathematically describe the outcome of random processes. They consist of two parts:

• 1) S = Sample Space: a set, or list, of all possible outcomes of a random process.
• An event is a subset of the sample space.

2) A probability for each possible event in the sample space S.
4. Probability rules
1) Probabilities range from 0 (no chance of the event) to 1 (the event has to happen).

For any event A, 0 ≤ P(A) ≤ 1

2) The probability of the complete sample space must equal 1.

P (sample space) = 1

3) The probability of an event not occurring is 1 minus the probability that does occur.

P(A) = 1 – P(not A)

• 4) Two events A and B are disjoint if they have no outcomes in common and can never happen together. The probability that A or B occurs is the sum of their individual
• probabilities.

P(A or B) = “P(A U B)” = P(A) + P(B)

This is the addition rule for disjoint events.
5. addition rule for disjoint events
P(A or B) = “P(A U B)” = P(A) + P(B)
6. Discrete sample space
deals with data that can take on only certain values. These values are often integers or whole numbers
7. Continuous sample space
• contains an infinite number of events. They typically are
• intervals of possible, continuously-distributed outcomes.

### Card Set Information

 Author: firefly501 ID: 137612 Filename: Statistics Ch 9 Updated: 2012-02-25 17:42:05 Tags: statistics Folders: Description: Introducing probability Show Answers:

What would you like to do?

Home > Flashcards > Print Preview