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Moore et al-Intro to the Practice of Statistics 6e (Homework)

James Finch

Statistics, section 2, Fall 2019

Instructor: Dr. Friendly

Current Score : 22 / 23

Due : Sunday, January 27, 2030 23:30 EST

Last Saved : n/a Saving...  ()

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22/23 (95.7%)
  • Instructions

    Here are some textbook questions from Introduction to the Practice of Statistics 6/e by David S. Moore, George P. McCabe, and Bruce A. Craig published by W. H. Freeman. Click here for a list of all of the questions coded in WebAssign. This demo assignment allows many submissions and allows you to try another version of the same question for practice.

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1. /5 points MIntroStat6 2.E.067. My Notes
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The table below gives data from a study that shows that social exclusion causes "real pain." That is, activity in the area of the brain that responds to physical pain goes up as distress from social exclusion goes up. The scatterplot for this data shows a moderately strong linear relationship. The data are given below.
     Social      Brain      Social      Brain
Subject      distress      activity Subject      distress      activity
1 1.24 0.055  8 2.20 0.024
2 1.85 0.040  9 2.54 0.026
3 1.10 0.025  10 2.73 0.033
4 2.48 0.016  11 2.73 0.064
5 2.15 0.016  12 3.31 0.077
6 2.69 0.016  13 3.61 0.124
7 2.03 0.021 
(a) What is the equation of the least-squares regression line for predicting brain activity from social distress score? (Round your answers to four decimal places.)
brain activity = social distress +

Make a scatterplot with this line drawn on it.


(b) On your plot, show the "up and over" lines that predict brain activity for social distress score 3. Use the equation of the regression line to get the predicted brain activity level. Verify that it agrees with your plot. (Round your answer to four decimal places.)


(c) What percent of the variation in brain activity among these subjects is explained by the straight-line relationship with social distress score? (Round your answer to a whole number.)
%
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2. /2 points MIntroStat6 3.E.084. My Notes
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Click on the histogram that best represents the target.
For which of the following is this an example?
    
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3. /4 points MIntroStat6 4.E.022. My Notes
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All human blood can be "ABO-typed" as one of O, A, B, or AB, but the distribution of the types varies a bit among groups of people. Here is the distribution of blood types for a randomly chosen person in Canada.
Blood typeOABAB
Canada probability0.390.360.07

The distribution of blood types in China differs from the Canadian distribution given above.
Blood typeOABAB
China probability0.350.23 0.14
Fill in the missing values.

Choose a Canadian and a Chinese at random, independently of each other. What is the probability that both have type O blood?


What is the probability that both have the same blood type?


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4. /7 points MIntroStat6 8.E.070. My Notes
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According to literature on brand loyalty, consumers who are loyal to a brand are likely to consistently select the same product. This type of consistency could come from a positive childhood association. To examine brand loyalty among fans of the Chicago Cubs, 362 Cubs fans among patrons of a restaurant located in Wrigleyville were surveyed prior to a game at Wrigley Field, the Cubs' home field. The respondents were classified as "die-hard fans" or "less loyal fans." Of the 138 die-hard fans, 90.2% reported that they had watched or listened to Cubs games when they were children. Among the 224 less loyal fans, 66.4% said that they watched or listened as children.
(a) Find the numbers of die-hard Cubs fans who watched or listened to games when they were children. Do the same for the less loyal fans.
die hard
less loyal

(b) Use a one sided significance test to compare the die-hard fans with the less loyal fans with respect to their childhood experiences relative to the team. (Use α = .01.)
z
P-value
Conclusion
    


(c) Express the results with a 95% confidence interval for the difference in proportions.
Lower limit
Upper limit
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5. /6 points MIntroStat6 10.E.047. My Notes
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How are returns on common stocks in overseas markets related to returns in U.S. markets? Measure U.S. returns by the annual rate of return on the Standard & Poor's 500-Stock Index and overseas returns by the annual rate of return on the Morgan Stanley EAFE (Europe, Australasia, Far East) index. Both are recorded in percents. Regress the EAFE returns on the S&P 500 returns for the 22 years 1978 to 2000. Here is part of the output for this regression. The regression equation is EAFE = 4.15 + 0.75 S&P.

Analysis of Variance
SourceDFSSMSF
Regression11494.21494.2
Residual Error
Total2113333.3


Complete the analysis of variance table by filling in the missing boxes.

What is s?

What is r2?
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