BUS 352 Module 8
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Problems 11.55,
10.57, 10.61, 11.25,
12.1, 12.5, 12.9, 12.17,
12.21, 12.43
10.55
Consider an experiment with four groups, with eight values in each. For the
ANOVA summary table below, fill in all the missing results:
10.57
The Computer Anxiety Rating Scale (CARS) measures an individual’s level of
computer anxiety, on a scale from 20 (no anxiety) to 100 (highest level of
anxiety). Researchers at Miami University administered CARS to 172 business
students. One of the objectives of the study was to determine whether there are
differences in the amount of computer anxiety experienced by students with
different majors. They found the following:
10.61 The following data
(stored in the file ) represent the nationwide highest yield of different types
of accounts (extracted from Bankrate.com, March 31, 2008):
11.25 Where people turn
to for news is different for various age groups. A study indicated where
different age groups primarily get their news:
12.1 Fitting a straight line
to a set of data yields the following prediction line:
12.5 Circulation is the
lifeblood of the publishing business. The larger the sales of a magazine, the
more it can charge advertisers. Recently, a circulation gap has appeared
between the publishers’ reports of magazines’ newsstand sales and subsequent
audits by the Audit Bureau of Circulations. The data in the file represent the
reported and audited newsstand yearly sales (in thousands) for the following 10
magazines:
12.9 An agent for a
residential real estate company in a large city would like to be able to
predict the monthly rental cost for apartments, based on the size of the
apartment, as defined by square footage. A sample of 25 apartments (stored in
the file ) in a particular residential neighborhood was selected, and the
information gathered revealed the following:
12.17 In Problem 12.5 on page 417, you used reported
magazine newsstand sales to predict audited sales (stored in the file ). For
that data, SSR = 130,301.41 and SST = 144,538.64
12.21 In Problem 12.9 on
page 418, an agent for a real estate company wanted to predict the monthly rent
for apartments, based on the size of the apartment (stored in the file). Using
the results of that problem,
12.43 The data in the
file represent the calories and fat (in grams) of 16-ounce iced coffee drinks
at Dunkin’ Donuts and Starbucks:
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