chapter 5- probability review

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Chapter 5- Probability Review

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Chapter 5- Probability Review. Section 5.1. An event is the set of possible outcomes Probability is between 0 and 1 The event A has a complement, the event not A. Together these two probabilities sum 1. ex. At least one and none are complements Probability of an event = - PowerPoint PPT Presentation

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Page 1: Chapter 5- Probability Review

Chapter 5- Probability Review

Page 2: Chapter 5- Probability Review

Section 5.1

An event is the set of possible outcomes

Probability is between 0 and 1 The event A has a complement, the

event not A. Together these two probabilities sum 1.ex. At least one and none are complements

Probability of an event = number of outcomes in event / number of equally

likely outcomes

Page 3: Chapter 5- Probability Review

Section 5.1

Probability Distributions give all values resulting from a random process.

Sample space is the complete list of disjoint outcomes. All outcomes in a sample space must have total probability equal to 1.

Ex. The sample space for rolling a die is {1,2,3,4,5,6} The sample space for rolling two die is the table of 36 outcomes we’ve seen.

Page 4: Chapter 5- Probability Review

Disjoint

Disjoint and mutually exclusive mean the same thing.

Disjoint means two different outcomes can’t occur on the same opportunity

Ex. Can’t roll an extra credit and no collect on the same roll. Can’t get a heads and tail on the same flip.

These items on a Venn diagram would have no intersection

Page 5: Chapter 5- Probability Review

Disjoint Continued

Flipping a coin and getting a head and tail is disjoint

Flipping a coin twice and getting a head and tail is disjoint.

Page 6: Chapter 5- Probability Review

Law of Large Numbers

In random sampling, the larger the sample, the closer the proportion of successes in the sample tends to be to the population proportion.

The difference between a sample proportion and the population proportion must get smaller as the sample size gets larger.

Page 7: Chapter 5- Probability Review

Fundamental Principle of Counting Processes can be split into stages (Flip

coin once, then again) If there are k stages with different

possible outcomes for each stage, the number of total possible outcomes is

n1*n2*n3*n4… nk

Ex. How many total outcome for rolling a die and flipping a coin?

6*2 = 12

Page 8: Chapter 5- Probability Review

Probability Simulations

1) Assumptions

What probability are you assuming? Are events independent?

Page 9: Chapter 5- Probability Review

Probability Simulations

2) Model*How specifically will you use your table of random digits? *Make sure to say what to do with repeats, unallocated numbers*Fully describe what constitutes a run and what statistics you’re collecting.*Make a table to show how digits /groups are assigned

Page 10: Chapter 5- Probability Review

Probability Simulations

3) Repetition

Run the simulations and record the results in a frequency table.

Page 11: Chapter 5- Probability Review

Probability Simulations

4) Conclusion

Write the conclusion in context of the situation. Be sure to say the probability is ESTIMATED.

Page 12: Chapter 5- Probability Review

Addition Rule of Probability Remember first that “or” means one

or the other or both

P(A or B) = P(A) + P(B) – P(A and B)

If A and B are disjoint, there is no intersection. Therefore, P(A and B)= 0.

If A and B are disjoint: P(A or B) = P(A) + P(B)

Page 13: Chapter 5- Probability Review

Conditional Probability and the Multiplication Rule The probability of an event A and B

both happening isP(A and B) = P(A) * P(B|A)

P(A and B) = P(B) * P(A|B)

The probability of an event changes based on what happened before.

Page 14: Chapter 5- Probability Review

Conditional Probability

Rearranging means P(A|B) = P(A and B) / P(B)

Probability of both divided by the probability of the first event.

Page 15: Chapter 5- Probability Review

Independent Events

The occurrence of one event doesn’t change the probability of the second event occurring

Test for Independence: IS P(A|B) = P(A) or P(B|A) =

P(B) ?If yes, you have independent events.

Sometimes this isn’t obvious that one has an effect without checking

Page 16: Chapter 5- Probability Review

Multiplication Rule for Independent Events Remember if events are

independent,P(A|B) = P(A) or P(B|A) = P(B)

Therefore, since P(A and B) = P(A) * P(B|A)

P(A and B) = P(A) * P(B) for independent events

Page 17: Chapter 5- Probability Review

Review Questions

If events A and B are independent and P(A) = 0.3 and P(B) = 0.5, then which of these is true?

A. P(A and B) = 0.8B. P(A or B) = 0.15C. P(A or B) = 0.8D. P(A | B) = 0.3E. P(A | B) = 0.5

Page 18: Chapter 5- Probability Review

Answer

If events A and B are independent and P(A) = 0.3 and P(B) = 0.5, then which of these is true?

A. P(A and B) = 0.8B. P(A or B) = 0.15C. P(A or B) = 0.8D. P(A | B) = 0.3 Probability of A is not changed

based on the occurrence of event B

E. P(A | B) = 0.5

Page 19: Chapter 5- Probability Review

Two Way Table Questions

Crash Type

Single Vehicle Multiple Vehicles

Total

Alcohol Related 10,741 4,887 15,628

Not Alcohol Related

11,345 11,336 22,681

Total 22,086 16,223 38,309

If a fatal auto crash is chosen at random, what is the approximate probability that the crash was alcohol related, given that it involved a single vehicle?A. 0.28B. 0.49C. 0.58D. 0.69E. The answer cannot be determined from the information given.

Page 20: Chapter 5- Probability Review

AnswerCrash Type

Single Vehicle Multiple Vehicles

Total

Alcohol Related 10,741 4,887 15,628

Not Alcohol Related

11,345 11,336 22,681

Total 22,086 16,223 38,309

If a fatal auto crash is chosen at random, what is the approximate probability that the crash was alcohol related, given that it involved a single vehicle?

B. 0.4910,741/22,086 = 0.49

Page 21: Chapter 5- Probability Review

Two Way Table Questions

Crash Type

Single Vehicle Multiple Vehicles

Total

Alcohol Related 10,741 4,887 15,628

Not Alcohol Related

11,345 11,336 22,681

Total 22,086 16,223 38,309

What is the approximate probability that a randomly chosen fatal auto crash involves a single vehicle and is alcohol related?A. 0.28B. 0.49C. 0.58D. 0.69E. The answer cannot be determined from the information given

Page 22: Chapter 5- Probability Review

AnswerCrash Type

Single Vehicle Multiple Vehicles

Total

Alcohol Related 10,741 4,887 15,628

Not Alcohol Related

11,345 11,336 22,681

Total 22,086 16,223 38,309

What is the approximate probability that a randomly chosen fatal auto crash involves a single vehicle and is alcohol related?A. 0.28Because 10,741/38,309 = 0.28

Page 23: Chapter 5- Probability Review

Review Question

For all events A and B, P(A and B) =A. P(A) · P(B)B. P(B | A)C. P(A | B)D. P(A) + P(B)E. P(B) · P(A | B)

Page 24: Chapter 5- Probability Review

Answer

For all events A and B, P(A and B) =A. P(A) · P(B)B. P(B | A)C. P(A | B)D. P(A) + P(B)E. P(B) · P(A | B)This is the multiplication rule.If they are independent, P(A|B) = P(A)

Page 25: Chapter 5- Probability Review

Review Question

The mathematics department at a school has twenty instructors. Six are easy graders. Twelve are considered to be good teachers. Seven are neither. If a student is assigned randomly to one of the easy graders, what is the probability that the instructor will also be good?

A. 7/20B. 5/12C. 7/12D. 5/6E. The answer cannot be determined from the

information given.

Page 26: Chapter 5- Probability Review

Answer

D. 5/6

Easy Not Easy

Total

Good 5 7 12Not Good

1 7 8

Total 6 14 20

Page 27: Chapter 5- Probability Review

Review Question The management of Young & Sons Sporting

Supply, Inc., is responding to a claim of discrimination. If the company has employed the 60 people in this table, how many females over the age of 40 must the company hire so that the age and sex of its employees are independent? 40 Years > 40 Years Total

Male 25 15

Female 20

Total

Page 28: Chapter 5- Probability Review

AnswerFirst, let N be the number of females

older than 40 to be hired.

Set up a proportion so P(male |<40) = P(Female|< 40)N=12

40 Years > 40 Years TotalMale 25 15 40Female 20 N 20+NTotal 45 15+N 60+N

Page 29: Chapter 5- Probability Review

Review Question

If P(A) = 0.4, P(B) = 0.2, and P(A and B) = 0.08, which of these is true?

A. Events A and B are independent and mutually exclusive.

B. Events A and B are independent but not mutually exclusive.

C. Events A and B are mutually exclusive but not independent.

D. Events A and B are neither independent nor mutually exclusive.

E. Events A and B are independent, but whether A and B are mutually exclusive cannot be determined from the given information.

Page 30: Chapter 5- Probability Review

AnswerIf P(A) = 0.4, P(B) = 0.2, and P(A and B) = 0.08, which of

these is true?A. Events A and B are independent and mutually

exclusive.B. Events A and B are independent but not

mutually exclusive.C. Events A and B are mutually exclusive but not

independent.D. Events A and B are neither independent nor mutually

exclusive.E. Events A and B are independent, but whether A and

B are mutually exclusive cannot be determined from the given information.