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The top four prime-time television shows were Law \& Order, CSI, Without a Trace, and Desperate Housewives (Nielsen Media Research, January $$1,2007$$ ). Data indicating the
preferred shows for a sample of 50 viewers follow,
J.D. Power and Associates conducts vehicle quality surveys to provide automobile manufacturers with consumer satisfaction information about their products (Vehicle Quality Survey, January 2010 ). Using a sample of vehicle owners from recent vehicle purchase records, the survey asks the owners a variety of questions about their new vehicles, such as those shown below. For each question, state whether the data collected are categorical or quantitative and indicate the measurement scale being used.
a. What price did you pay for the vehicle?
b. How did you pay for the vehicle? (Cash, Lease, or Finance)
c. How likely would you be to recommend this vehicle to a friend? (Definitely Not, Probably Not, Probably Will, and Definitely Will)
d. What is the current mileage?
e. What is your overall rating of your new vehicle? A 110 -point scale, ranging from I for
unacceptable to 10 for truly exceptional, was used.
A partial relative frequency distribution is given.
a. What is the relative frequency of class $$D ?$$
b. The total sample size is 200 . What is the frequency of class D?
c. Show the frequency distribution.
d. Show the percent frequency distribution.
The following data show the number of rental cars in service for three rental car companies:
Hert. Avis, and Dollar. The data are for the years $2007-2010$ and are in thousands of
vehicles (Auto Rental News website, May $15,2011 )$ .
a. Construct a time series graph for the years 2007 to 2010 showing the number of rental
cars in service for each company. Show the time series for all three companies on the
b. Comment on who appears to be the market share leader and how the market shares are
changing over time.
c. Construct a bar chart showing rental cars in service for $2010 .$ Is this chart based on
cross-sectional or time series data?
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Picturing Variations With Graphs
Linear Regression and Correlation
Normal, Binomial, and Geometric Models