copyright 2013, 2010, 2007, pearson, education, inc. section 12.11 binomial probability formula

16
Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Upload: lydia-park

Post on 20-Jan-2016

215 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Section 12.11

Binomial Probability

Formula

Page 2: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

What You Will Learn

Binomial Probability Formula

12.11-2

Page 3: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

To Use the Binomial Probability FormulaThere are n repeated independent trials.Each trial has two possible outcomes, success and failure.For each trial, the probability of success (and failure) remains the same.

12.11-3

Page 4: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Binomial Probability Formula

The probability of obtaining exactly x successes, P(x), in n independent trials is given by:

where p is the probability of success on a single trial and q (= 1 – p) is the probability of failure on a single trial.

P x n

Cx pxqn x

12.11-4

Page 5: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 1: Selecting Colored Balls with ReplacementA basket contains 3 balls: 1 red, 1 blue, and 1 yellow. Three balls are going to be selected with replacement from the basket. Find the probability that a. no red balls are selected.

12.11-5

Page 6: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 1: Selecting Colored Balls with ReplacementSolutionp = 1/3, q = 1 – 1/3 = 2/3

11 2

3

3

P x n

Cx pxqn x

P 0 3

C0 1

3

02

3

3 0

8

27

12.11-6

Page 7: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 1: Selecting Colored Balls with Replacementb. exactly 1 red ball is

selected.Solutionp = 1/3, q = 1 – 1/3 = 2/3

3

1

3

2

3

2

P x n

Cx pxqn x

P 1 3

C1 1

3

12

3

31

4

912.11-7

Page 8: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 1: Selecting Colored Balls with Replacementc. exactly 2 red balls are

selected.Solutionp = 1/3, q = 1 – 1/3 = 2/3

3

1

3

22

3

1

P x n

Cx pxqn x

P 2 3

C2 1

3

22

3

3 2

2

912.11-8

Page 9: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 1: Selecting Colored Balls with Replacementd. exactly 3 red balls are

selected.Solutionp = 1/3, q = 1 – 1/3 = 2/3

1

1

3

32

3

0

P x n

Cx pxqn x

P 3 3

C3 1

3

32

3

3 3

1

2712.11-9

Page 10: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 2: Quality Control for BatteriesA manufacturer of batteries knows that 0.4% of the batteries produced by the company are defective.a) Write the binomial probability formula that would be used to determine the probability that exactly x out of n batteries produced are defective.

12.11-10

Page 11: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 2: Quality Control for BatteriesSolutionp = 0.4% = 0.004q = 1 – 0.004 = 0.996

P x n

Cx pxqn x

P x n

Cx 0.004 x 0.996 n x

12.11-11

Page 12: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 2: Quality Control for Batteriesb) Write the binomial probability formula that would be used to find the probability that exactly 3 batteries of 75 produced will be defective. Do not evaluate.

12.11-12

Page 13: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 2: Quality Control for BatteriesSolutionx = 3n = 75

P 3 75

C3 0.004 3 0.996 75 3

P 3 75

C3 0.004 3 0.996 72

12.11-13

Page 14: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 4: Planting Trees

The probability that a tree planted by a landscaping company will survive is 0.8. Determine the probability thata) none of four trees planted will survive.b) at least one of four trees planted will survive.

12.11-14

Page 15: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 4: Planting TreesSolutiona) p = 0.8, q = 0.2, x = 0, n = 4

1 10.2 4 0.0016

P x n

Cx pxqn x

P 0 4

C0 0.8 0 0.2 4 0

12.11-15

Page 16: Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.11 Binomial Probability Formula

Copyright 2013, 2010, 2007, Pearson, Education, Inc.

Example 4: Planting TreesSolutionb) Probability that at least 1 tree survives can be found by subtracting the probability that none survives from 1.

P

at least one

survives

1 P

none

survives

1 0.0016 0.998412.11-16