chapter 15
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Chapter 15. Week 5, Friday. Population Cross-tabs. - PowerPoint PPT PresentationTRANSCRIPT
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Chapter 15
Week 5, Friday
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Population Cross-tabs
Ohio Texas New York (total)
Like the Song 200 100 5 305
Don’t Like the Song 500 125 70 695
(total) 700 225 75 1000
Suppose there are 1000 employees invited to a company party. The company has locations in Ohio, Texas, and New York. Corporate is considering the song “My Kind of Party” by Brantley Gilbert for the Welcome Video and wants to know how the 1000 employees in attendance feel about this song. The cross-tab below describes the 1000 attending employees’ feelings toward this song.
Why is this not a sample?If I randomly choose 1 person from the company, what is the likelihood that the employee will like the song? 305/1000 = 30.5%If I randomly choose 1 person from Texas, what is the likelihood that the employee will like the song? 100/225 = 44.4%
![Page 3: Chapter 15](https://reader036.vdocuments.site/reader036/viewer/2022081519/56813a4b550346895da242e5/html5/thumbnails/3.jpg)
Population Cross-tabs
Ohio Texas New York (total)
Like the Song 200 100 5 305
Don’t Like the Song 500 125 70 695
(total) 700 225 75 1000
Suppose there are 1000 employees invited to a company party. The company has locations in Ohio, Texas, and New York. Corporate is considering the song “My Kind of Party” by Brantley Gilbert for the Welcome Video and wants to know how the 1000 employees in attendance feel about this song. The cross-tab below describes the 1000 attending employees’ feelings toward this song.
If I randomly choose 1 person from Texas, what is the likelihood that the employee will like the song? 100/225 = 44.4%
P[Like the song | Texas] = = P[Like the song AND Texas] /
P[Texas] = (100/1000) / (225/1000) = 100/225
![Page 4: Chapter 15](https://reader036.vdocuments.site/reader036/viewer/2022081519/56813a4b550346895da242e5/html5/thumbnails/4.jpg)
Population Cross-tabs
Ohio Texas New York (total)
Like the Song 200 100 5 305
Don’t Like the Song 500 125 70 695
(total) 700 225 75 1000
Suppose there are 1000 employees invited to a company party. The company has locations in Ohio, Texas, and New York. Corporate is considering the song “My Kind of Party” by Brantley Gilbert for the Welcome Video and wants to know how the 1000 employees in attendance feel about this song. The cross-tab below describes the 1000 attending employees’ feelings toward this song.
If I randomly choose 1 person from Texas, what is the likelihood that the employee will like the song? 100/225 = 44.4%
The general formula for events A and B:
P[ A | B ] = P[ A and B ] / P[B]
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Recall the Coin Example
Consider two fair coins:
Tails, Tails
Tails, Heads
P[ at least one heads ] = 3/4P[ two heads ] = 1/4P[ at least one heads AND two heads ] =1/4
Heads, Tails
Heads, Heads
P[ two heads | At least one heads ] = ?= P[ 2 heads and At least one heads ] / P[at least one heads]= (1/4) / (3/4) = 1/3 = 33%
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Definition: Mutually ExclusiveTwo events are mutually exclusive if they have nothing in common.
That is P[ A and B ] = 0
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Definition: Mutually Exclusive
Consider two fair coins:
Tails, Tails
Tails, Heads
Consider the events:
1 heads and 1 tails
2 heads
They are mutually exclusive
Heads, Tails
Heads, Heads
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Definition: Mutually Exclusive
Consider two fair coins:
Tails, Tails
Tails, Heads
As a result:
(1) P[ {HT,TH} and HH ] = 0
(2) P[ {HT,TH} or HH ]
= P[HT, TH] + P[HH] - P[{HT,TH} and HH]
= P[HT, TH] + P[HH]
Heads, Tails
Heads, Heads
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Definition: Mutually Exclusive
Consider two fair coins:
Tails, Tails
Tails, Heads
General Equation:
For Mutually Exclusive events, A and B:
P[ A or B ] = P[A] + P[B]
Heads, Tails
Heads, Heads
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Definition: Independent
Two events are independent if the outcome of one event does not affect the outcome of the other.
That is P[ A | B ] = P[A]
Also: P[A and B] = P[A] * P[B]
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Example 1
Example: Flip three coins. Suppose these coins are independent of each other. Calculate the probability of flipping three heads.
Solution: Let H1 be the event that the first flip is heads
Let H2 be the event that the second flip is heads
Let H3 be the event that the third flip is heads
P[H1 and H2 and H3] = P[H1]*P[H2]*P[H3]
= (1/2)*(1/2)*(1/2) = 1/8
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Example 2 (chapter 14 #32B)
Example: Consider the blood types:P[type O] = 45%, P[type B] = 11%
P[type A] = 40%, P[type AB] = 4%
Consider four independent donors
Question 1:
P[ all are type O ]
= P[p1 is O and p2 is O and p3 is O and p4 is O]
= P[p1 is O]*P[p2 is O]*P[p3 is O]*P[p4 is O]
= 45% * 45% * 45% * 45%
= 4.1%
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Example 2 (chapter 14 #32B)
Example: Consider the blood types:P[type O] = 45%, P[type B] = 11%
P[type A] = 40%, P[type AB] = 4%
Consider four independent donors
Question 2:
P[ no one is AB ]
= P[p1 not AB and p2 not AB and p3 not AB and p4 not AB]
= P[p1 not AB]*P[p2 not AB]*P[p3 not AB]*P[p4 not AB]
= 96% * 96% * 96% * 96%
= 84.9%
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Example 2 (chapter 14 #32B)
Example: Consider the blood types:P[type O] = 45%, P[type B] = 11%
P[type A] = 40%, P[type AB] = 4%
Consider four independent donors
Question 3:
P[ not everyone is type A ]
= 1 – P[ everyone is type A]
= 1 - P[p1 is A and p2 is A and p3 is A and p4 is A]
= 1 - P[p1 is A]*P[p2 is A]*P[p3 is A]*P[p4 is A]
= 100% - (40% * 40% * 40% * 40%)
= 97.4%
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Example 2 (chapter 14 #32B)
Example: Consider the blood types:P[type O] = 45%, P[type B] = 11%
P[type A] = 40%, P[type AB] = 4%
Consider four independent donors
Question 4:
P[ at least one person is type B ]
= 1 – P[ nobody is type B ]
= 1 - P[p1 not B and p2 not B and p3 not B and p4 not B]
= 1 - P[p1 not B]*P[p2 not B]*P[p3 not B]*P[p4 not B]
= 100% - (89% * 89% * 89% * 89%)
= 37.3%
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Example 3
Answer:
P[ like the song ] = 305/1000 = 30.5%
P[ like the song | from texas ] = 100/225 = 44.44%
Since 44.44% is not equal to 30.5%,
these events are NOT independent.
Question: Are “liking the song” and “being from Texas” independent events?
Ohio Texas New York (total)
Like the Song 200 100 5 305
Don’t Like the Song 500 125 70 695
(total) 700 225 75 1000
![Page 17: Chapter 15](https://reader036.vdocuments.site/reader036/viewer/2022081519/56813a4b550346895da242e5/html5/thumbnails/17.jpg)
Example 4: A different song
Answer:
P[ like the song ] = 200/1000 = 20%
P[ like the song | from ohio ] = 100/500 = 20%
Since both values are 20%,
these events ARE independent.
Question: Are “liking the song” and “being from Ohio” independent events?
Ohio Texas New York (total)
Like the Song 100 195 5 200
Don’t Like the Song 400 330 70 800
(total) 500 425 75 1000
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Example 4: A different song
Alternative Answer:
P[ from ohio ] = 500/1000 = 50%
P[ from ohio | like the song ] = 100/200 = 50%
Since both values are 50%,
these events ARE independent.
Question: Are “liking the song” and “being from Ohio” independent events?
Ohio Texas New York (total)
Like the Song 100 195 5 200
Don’t Like the Song 400 330 70 800
(total) 500 425 75 1000