1) A sociologist wanted to see if there was a relationship between a family’s educational status and the eliteness of the college that their oldest child attended. She measured educational status by counting how many years of education beyond high school the parents had received. In addition, she measured the eliteness of the school by its yearly tuition, in thousands (e.g. 5 = $5,000). She obtained a random sample of 10 families. Use pearson

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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1) A sociologist wanted to see if there was a relationship between a family’s educational status and the eliteness of the college that their oldest child attended. She measured educational status by counting how many years of education beyond high school the parents had received. In addition, she measured the eliteness of the school by its yearly tuition, in thousands (e.g. 5 = $5,000). She obtained a random sample of 10 families. Use pearson

2) A political scientist developed a theory that after an election, supporters of the losing candidate removed the bumper stickers from their cars faster than did supporters of the winning candidate. The day before a presidential election, he randomly selected parking lots, and at each selected parking lot, he randomly selected one car with a bumper sticker and recorded which candidate it supported. The day after the election, he followed the same procedure with a new sample of randomly selected parking lots. For both days, he then classified the bumper stickers as supporting the winning or losing candidate. Below are the results. Use hypothesis testing to see if a difference exists between how winners and losers behave.

5 | 6
| 8
1
2
3
4
7
9
10
Years
7
8
8
4
12
17
8
2
post-HS
education
Yearly
12
26
33
18
20
7
15
38
41
5
tuition
Transcribed Image Text:5 | 6 | 8 1 2 3 4 7 9 10 Years 7 8 8 4 12 17 8 2 post-HS education Yearly 12 26 33 18 20 7 15 38 41 5 tuition
Observed Frequencies
Winner
Loser
Before
34
32
After
28
10
Transcribed Image Text:Observed Frequencies Winner Loser Before 34 32 After 28 10
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