Basic Marketing: A Global Managerial Approach

(Nandana) #1

Perreault−McCarthy: Basic
Marketing: A
Global−Managerial
Approach, 14/e



  1. Improving Decisions
    with Marketing
    Information


Text © The McGraw−Hill
Companies, 2002

Computer-Aided Problem

8 .Marketing Research
Te xmac, Inc., has an idea for a new type of weaving
machine that could replace the machines now used by
many textile manufacturers. Te xmac has done a tele-
phone survey to estimate how many of the old-style
machines are now in use. Respondents using the present
machines were also asked if they would buy the im-
proved machine at a price of $10,000.
Te xmac researchers identified a population of about
5,000 textile factories as potential customers. A sample
of these were surveyed, and Texmac received 500 re-
sponses. Researchers think the total potential market is
about 10 times larger than the sample of respondents.
Two hundred twenty of the respondents indicated that
their firms used old machines like the one the new ma-
chine was intended to replace. Forty percent of those
firms said that they would be interested in buying the
new Texmac machine.
Te xmac thinks the sample respondents are representa-
tive of the total population, but the marketing manager
realizes that estimates based on a sample may not be ex-
act when applied to the whole population. He wants to
see how sampling error would affect profit estimates. Data
for this problem appears in the spreadsheet. Quantity es-
timates for the whole market are computed from the
sample estimates. These quantity estimates are used in
computing likely sales, costs, and profit contribution.
a. An article in a trade magazine reports that there are
about 5,200 textile factories that use the old-style

machine. If the total market is really 5,200
customers—not 5,000 as Texmac originally
thought—how does that affect the total quantity esti-
mate and profit contribution?
b. Some of the people who responded to the survey didn’t
know much about different types of machines. If the
actual number of old machines in the market is really
200 per 500 firms—not 220 as estimated from sur-
vey responses—how much would this affect the
expected profit contribution (for 5,200 factories)?
c. The marketing manager knows that the percentage of
textile factories that would actually buy the new
machine might be different from the 40 percent who
said they would in the survey. He estimates that the
proportion that will replace the old machine might be
as low as 36 and as high as 44 percent—depending
on business conditions. Use the analysis feature to
prepare a table that shows how expected quantity and
profit contribution change when the sample percent
varies between a minimum of 36 and a maximum of
44 percent. What does this analysis suggest about the
use of estimates from marketing research samples?
(Note: Use 5,200 for the number of potential cus-
tomers and use 220 as the estimate of the number of
old machines in the sample.)
For additional questions related to this problem, see
Exercise 8-3 in the Learning Aid for Use with Basic Mar-
keting,14th edition.

Improving Decisions with Marketing Information 245
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