Copyright © 2013 Pearson Education, Inc. All rights reserved Chapter 3 Probability.

Chapter 3

Probability

Events, Sample Spaces, and Probability

Definition

Figure 3.1 Tree diagram for the coin-tossing experiment

Figure 3.2 Venn diagrams for the three experiments from Table 3.1

Definition

Table 3.1

Figure 3.3 Proportion of heads in N tosses of a coin

Figure 3.4 Experiment: invest in a business venture and observe whether it succeeds (S) or fails (F)

Procedure

Figure 3.5 Die-toss experiment with event A, observe an even number

Definition

Procedure

Table 3.2

Figure 3.6 Venn diagrams for AAMFT

Table 3.3

Procedure

Unions and Intersections

Definition

Figure 3.7 Venn diagrams for union and intersection

Figure 3.8 Venn diagrams for die toss

Table 3.4

Complementary Events

Definition

Figure 3.9 Venn diagrams of complementary events

Procedure

Figure 3.10 Complementary events in the toss of two coins

The Additive Rule and Mutually Exclusive Events

Figure 3.11 Venn diagram of union

Procedure

Figure 3.12 Venn diagram of Mutually exclusive events

Definition

Procedure

Figure 3.13 Venn diagram for coin-toss experiment

Table SIA3.1

Conditional Probability

Figure 3.14 Reduced sample space for the die-toss experiment: given that event B has occurred

Formula

Figure 3.15 Sample space for Example 3.15

Table 3.5

Table 3.6

The Multiplicative Rule and Independent Events

Procedure

Figure 3.16 Venn diagram for finding P(A)

Figure 3.17 Venn diagram for finding P(B|A)

Figure 3.18 Tree diagram for Example 3.17

Definition

Figure 3.19 Venn diagram for die-toss experiment

Figure 3.20 Mutually exclusive events are dependent events

Procedure

Random Sampling

Definition

Table 3.7

Figure 3.21 MINITAB worksheet with random sample of 50 households

Figure 3.22 MINITAB worksheet with random assignment of physicians

Some Additional Counting Rules (Optional)

Figure 3.23 Tree diagram for shipping problem

Procedure

Table 3.8

Table 3.9

Procedure

Definition

Bayes’s Rule (Optional)

Figure 3.24 Tree diagram for Example 3.33

Procedure

Copyright © 2013 Pearson Education, Inc. All rights reserved Chapter 3 Probability.

Documents

Transcript of Copyright © 2013 Pearson Education, Inc. All rights reserved Chapter 3 Probability.

1 2011 Pearson Education, Inc. All rights reserved 1 2010 Pearson Education, Inc. All rights reserved 2011 Pearson Education, Inc. All rights reserved.

Copyright © 2011 Pearson Education, Inc. Probability Chapter 7.

Copyright © Cengage Learning. All rights reserved. 8.6 Probability.

© 2010 Pearson Prentice Hall. All rights reserved Chapter The Normal Probability Distribution © 2010 Pearson Prentice Hall. All rights reserved 3 7.

Chapter 35rlhawkmath.pbworks.com/w/file/fetch/65144718/Ch5 RL.pdf · 2021. 2. 14. · Section 5.1 Probability Rules 52 ©"2010"Pearson"Pren-ce"Hall."All"rights" reserved""

© 2008 Pearson Addison Wesley. All rights reserved. 2-1 © 2008 Pearson Addison Wesley. All rights reserved Chapter Two Supply and Demand.

Copyright © 2012 Pearson Education. All rights reserved. 15-1 Copyright © 2012 Pearson Education. All rights reserved. Chapter 15 Inference for Counts:

1 © 2010 Pearson Education, Inc. All rights reserved © 2010 Pearson Education, Inc. All rights reserved Chapter 10 Further Topics in Algebra.

Copyright © 2010 Pearson Education, Inc. Chapter 15 Probability Rules!

Chapter Probability © 2010 Pearson Prentice Hall. All rights reserved 3 5.

The Binomial Probability Distribution 6-1 © 2010 Pearson Prentice Hall. All rights reserved.

Copyright © Cengage Learning. All rights reserved. 2 Probability.

Copyright © 2008 Pearson Education, Inc. Chapter 11 Probability and Calculus Copyright © 2008 Pearson Education, Inc.

Copyright © 2012 Pearson Education. All rights reserved. Chapter 8 Random Variables and Probability Models.

Copyright © 2012 Pearson Education. All rights reserved. 10-1 Copyright © 2012 Pearson Education. All rights reserved. Chapter 10 Sampling Distributions.

Copyright © 2011 Pearson, Inc. 9.3 Probability. Copyright © 2011 Pearson, Inc. Slide 9.3 - 2 What you’ll learn about Sample Spaces and Probability Functions.

3.1 Probability Key words - Pearson Education · Probability Find the probabilities of events Understand that if the probability of an event happening is p, the probability of it

Copyright © 2012 Pearson Education. All rights reserved. 18-1 Copyright © 2012 Pearson Education. All rights reserved. Chapter 18 Multiple Regression.

Copyright © Cengage Learning. All rights reserved. 7 Probability.

Section 3.4 Additional Topics in Probability and Counting © 2012 Pearson Education, Inc. All rights reserved. 1 of 88.