Top Banner
Probability and Long-Term Expectations
31

Probability and Long-Term Expectations

Jan 02, 2016

Download

Documents

damon-meadows

Probability and Long-Term Expectations. Goals. Understand the concept of probability Grasp the idea of long-term relative frequency as probability Learn some simple probability rules Understand how hard it is to win lotteries like Euro Millions. Probability. Two distinct concepts: - PowerPoint PPT Presentation
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Probability and Long-Term Expectations

Probability and Long-Term Expectations

Page 2: Probability and Long-Term Expectations

Goals

Understand the concept of probabilityGrasp the idea of long-term relative frequency as probabilityLearn some simple probability rulesUnderstand how hard it is to win lotteries like Euro Millions

Page 3: Probability and Long-Term Expectations

Probability

Two distinct concepts:Relative frequency interpretationPersonal probability interpretation

Page 4: Probability and Long-Term Expectations

Relative Frequency

The probability of an outcome is defined as the proportion (percentage) of times the outcome occurs over the long run.

Page 5: Probability and Long-Term Expectations

Boy frequency in 25 births

0.4500.5000.5500.6000.6500.7000.7500.8000.8500.9000.9501.000

1 3 5 7 9 11 13 15 17 19 21 23 25

Page 6: Probability and Long-Term Expectations

Boy frequency in 200 births

0.450

0.500

0.550

0.600

0.650

0.700

0.750

0.800

1 18 35 52 69 86 103 120 137 154 171 188

Page 7: Probability and Long-Term Expectations

Boy frequency in 5,000 births

0.4500.5000.5500.6000.6500.7000.7500.8001

417

833

1249

1665

2081

2497

2913

3329

3745

4161

4577

4993

births

bo

y fr

eq

Page 8: Probability and Long-Term Expectations

Two Ways to DetermineRelative Frequency

Make physical assumptions coins, cards, dice, lottery numbers,

etc.

Make repeated observations births, cancer, weather

Page 9: Probability and Long-Term Expectations

Personal Probability

Personal probability is the degree to which an individual believes some event will happenUseful for predicting the likelihood of events that aren’t repeatable -- accurately or not

Page 10: Probability and Long-Term Expectations

Which kind of probability?

A lottery ticket will be a winner.You will get an B.A random student will get a B.The Lisbon-Madrid flight will leave on time.Portugal will win the next CopaSomeone in this class will live to be at least 90.

Page 11: Probability and Long-Term Expectations

Probability Definitions

The probability of something occurring can never be less than zero or more than one.If two outcomes can’t happen at the same time, they are mutually exclusive.If two events don’t influence each other, the events are independent of each other.

Page 12: Probability and Long-Term Expectations

Probability Rule 1

If there are only two possible outcomes, their probabilities must add to 1.

Examples:Heads is 0.5, tails is...?Boy birth is 0.51, girl birth is...?Card a club is 0.25, not a club is…?Plane on time is 0.80, late is…?

Page 13: Probability and Long-Term Expectations

Probability Rule 2

With mutually exclusive outcomes, the probability of one or the other happening is the sum of their individual probabilities.

Examples: age at first birth (.25 under 20, .33 for

20-24) heart attack (0.30) or cancer (0.23)

Page 14: Probability and Long-Term Expectations

Probability Rule 3

If two events are independent, the probability they both happen is found by multiplying the individual probabilities.

Examples: kids’ genders Student smokers

Page 15: Probability and Long-Term Expectations

Independent probabilities

Remember that dice, lottery machines, etc., don’t remember what they have done in the past.Each roll or draw or whatever is independent, so the probability DOESN’T change

Page 16: Probability and Long-Term Expectations

“Ask Marilyn” problem

A woman and a man (unrelated) each have two children. At least one of the woman’s children is a boy, and the man’s older child is a boy.

Do the chances that the woman has two boys equal the chances that the man has two boys?

Page 17: Probability and Long-Term Expectations

Answer

Woman:boy -- girlgirl -- boyboy -- boy

Man:boy -- girlboy -- boy

Page 18: Probability and Long-Term Expectations

Probability Rule 4

If the ways one event can occur are a subset of the ways another can occur, then the probability of the first event occurring cannot be higher than the second.

Example: death by accident or in a car crash

Page 19: Probability and Long-Term Expectations

Class Survey

Which is more likely to occur in the next 10 years?:A nuclear war

orUse of nuclear weapons in the Middle East sparked by a terrorist attack

Page 20: Probability and Long-Term Expectations

Class Survey

Which is more likely to occur in the next 10 years?:A nuclear war (22%)

orUse of nuclear weapons in the Middle East sparked by a terrorist attack (78%)

Page 21: Probability and Long-Term Expectations

Long-Term Probabilities

If probability of an outcome is p, and the number of trials is n:Chance of it occurring in n trials:

1 - (1-p)n

Chance of it occurring on the nth trial:

p * (1-p)n-1

Page 22: Probability and Long-Term Expectations

Some Long-Term Probabilities

Chance of rolling a 6 is 1/6

Page 23: Probability and Long-Term Expectations

Rolling a 6

p = 1/6 = 0.167Chance of rolling a 6 in 5 rolls:

1-(1- ,167)5 = 1- (,833)5 = ,60Chance of rolling a 6 on the 5th roll:

,167 * (,833)4 = ,08

Page 24: Probability and Long-Term Expectations

Some Long-Term Probabilities

Chance of rolling a 6 is 1/6Chance of dealing the ace of spades is 1/52

Page 25: Probability and Long-Term Expectations

Dealing the Ace of Spades

p = 1/52 = 0.019Chance of dealing it in 20 tries:

1-(1-,019)20 = 1-(,981)20 = ,32Chance of dealing it as the 20th card:

,019 * (,981)19 = ,013

Page 26: Probability and Long-Term Expectations

Some Long-Term Probabilities

Chance of rolling a 6 is 1/6Chance of dealing the ace of spades is 1/52Risk of heterosexual HIV transmission in unprotected sex is about 1/1000.

Page 27: Probability and Long-Term Expectations

HIV transmission

p = 1/1000 = 0.001Chance of transmission in 4 encounters:

1-(1 - ,001)4 = 1-(,999)4 = ,004Chance in 10 encounters:

(1 - ,001)10 = (,999)10 = ,009Chance in 50 encounters:

(1 - ,001)50 = (,999)50 = ,049

Page 28: Probability and Long-Term Expectations

Some Long-Term Probabilities

Chance of rolling a 6 is 1/6Chance of dealing the ace of spades is 1/52Risk of HIV transmission from female to male in unprotected sex is about 1/400.Risk of space shuttle accident is 2/119.

Page 29: Probability and Long-Term Expectations

Space Shuttle Accident

p = 2/119 = 0.0168Chance of accident in next 25 launches:

1-(1- ,0168)25 = 1-(,982)25

=.35

Page 30: Probability and Long-Term Expectations

Euro Millions lottery

Odds of winning: 1 / 76.275.360Lay tickets end to end: About 6.000 kmLisbon>Madrid>Paris About 1.500 km

Page 31: Probability and Long-Term Expectations

Remember

The Lottery is a tax on people who can’t do math.