session 2 university of southern california ise500 thursday, august 28, 2014 geza p. bottlik page 1...
TRANSCRIPT
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 1
Outline
• Questions, Comments?
• Quiz next Tuesday
• Take roll
• Example of Quiz Results
• Lecture
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 2
What are we going to learn and apply?
Acquiring data
Analyzing data
Organizing data
Making inferences and drawing conclusions
Presenting results
How people make decisions and the traps they fall into
Using traditional and Bayesian analysis
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 3
Bayesian
make assumptions about distributions, gather data, revise assumption
Traditional
Hypothesize about facts, gather data, make a conclusion
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 4
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 5
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 6
Two bags with green and white chips – the value of a sample
Bag A has 70 green chips, 30 white chips
Bag B has 30 green chips, 70 white chips
What is the chance that you can correctly identify which bag is which without taking out any chips?
Suppose I pick a bag at random and then pick 12 chips from it, one at a time, each time replacing the chip and mixing up the bag. I find that 8 chips are green.
What is the probability that it is the bag with 70 green chips?
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 7
Two bags with green and white chips
Bag A has 70 green chips, 30 white chips
Bag B has 30 green chips, 70 white chips
What is the chance that you can correctly identify which bag is which without taking out any chips? 50%
Suppose I pick a bag at random and then pick 12 chips from it, one at a time, each time replacing the chip and mixing up the bag. I find that 8 chips are green.
What is the probability that it is the bag with 70 green chips?
If it is the green bag .7^8*.3^4 = 0.00047
If it is the white bag .3^8*.7^4 = 0.000016
Probability that it is the green bag =
= 0.00047/(0.00047+0.000016) = 96.7% Class answers 80,60,67,85,75,70,67
Odds =96.7/3.3 = 29.6
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 8
Is the population of Iceland greater then 1,500,000?
Is the population of California less than 20,000,000?
Is the area of Cyprus greater than 100,000 km^2?
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 9
Anchoring
Is the population of Iceland greater then 1,500,000? 9/42 Yes
329,807
Is the population of California less than 20,000,000? 11/42 Yes
39,309,017
Is the total area of Cyprus greater than 100,000 km^2? 12/42 Yes
9251
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 10
Confirmation of beliefs
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 11
Base rates
The occurrence of Tuberculosis (TB) in the US is 4.6/100,000
If we test a person at random with one of the traditional test, the effectiveness of the test can be described as follows:
3% of the time a person without the disease will test positive
10% of the time a person who has the disease will test negative
If a person is chosen at random from the population and tests positive, what is the probability that he/she has the disease?
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 12
Base rates
The occurrence of Tuberculosis (TB) in the US is 4.6/100,000
If we test a person at random with one of the traditional test, the effectiveness of the test can be described as follows:
3% of the time a person without the disease will test positive
10% of the time a person who has the disease will test negative
If a person is chosen at random from the population and tests positive, what is the probability that he/she has the disease?
0.14% correct. Class answers 98%,91%,97%,95%,93%,90%
Before the test is was 0.0046%
The test said 90%
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 13
Monte Hall
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Session 2University of Southern California
ISE500 Thursday, August 28, 2014
Geza P. Bottlik Page 14
Monte Hall only 14/42 switched