285%2Bchap03-c

# 285%2Bchap03-c - Statistics Chapter 3 Probability Chap 4-1...

This preview shows pages 1–11. Sign up to view the full content.

Chap 4-1 Statistics: Chapter 3 Probability

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Chap 4-2 Important Terms Probability – the chance that an uncertain event will occur (always between 0 and 1) Experiment – a process of obtaining outcomes for uncertain events, e Experimental Outcome – the most basic outcome possible from a simple experiment Sample Space – the collection of all possible experimental outcomes Event – collection of elementary events
Chap 4-3 Sample Space The Sample Space is the collection of all possible outcomes e.g., All 6 faces of a die: e.g., All 52 cards of a bridge deck:

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Chap 4-4 Events Experimental outcome – An outcome from a sample space with one characteristic Example: A red card from a deck of cards Event – May involve two or more outcomes simultaneously Example: An ace that is also red from a deck of cards
Chap 4-5 Visualizing Events Contingency Tables Tree Diagrams Red 2 24 26 Black 2 24 26 Total 4 48 52 Ace Not Ace Total Full Deck of 52 Cards Red Card Black Card Not an Ace Ace Sample Space Sample Space 2 24 2 24

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Chap 4-6 Experimental Outcomes A automobile consultant records fuel type and vehicle type for a sample of vehicles 2 Fuel types: Gasoline, Diesel 3 Vehicle types: Truck, Car, SUV 6 possible experimental outcomes: e 1 Gasoline, Truck e 2 Gasoline, Car e 3 Gasoline, SUV e 4 Diesel, Truck e 5 Diesel, Car e 6 Diesel, SUV Gasoline Diesel Car Truck Car SUV e 1 e 2 e 3 e 4 e 5 e 6
Chap 4-7 Probability Concepts Mutually Exclusive Events If E 1 occurs, then E 2 cannot occur E 1 and E 2 have no common elements Black Cards Red Cards A card cannot be Black and Red at the same time. E 1 E 2

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Chap 4-8 Independent and Dependent Events Independent: Occurrence of one does not influence the probability of occurrence of the other Dependent: Occurrence of one affects the probability of the other Probability Concepts
Chap 4-9 Independent Events E 1 = heads on one flip of fair coin E 2 = heads on second flip of same coin Result of second flip does not depend on the result of the first flip. Dependent Events E 1 = rain forecasted on the news E 2 = take umbrella to work Probability of the second event is affected by the occurrence of the first event Independent vs. Dependent Events

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Chap 4-10 Assigning Probability Classical Probability Assessment Relative Frequency of Occurrence Subjective Probability Assessment P(E i ) = Number of ways E i can occur Total number of experimental outcomes Relative Freq. of E i = Number of times E i occurs N An opinion or judgment by a decision maker about the likelihood of an event
This is the end of the preview. Sign up to access the rest of the document.

## This note was uploaded on 03/23/2011 for the course STATS 100 taught by Professor Lawerence during the Spring '11 term at Rutgers.

### Page1 / 63

285%2Bchap03-c - Statistics Chapter 3 Probability Chap 4-1...

This preview shows document pages 1 - 11. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online