Suppose a researcher is interested in the shopping preferences of consumers at a local mall. Since he believes men and women have different preferences, the researcher decides to stratify the population by gender. From past data, he knows that roughly 60% of mall shoppers are female. He wants a sample of size 200. To get a proportional sample, he decides to sample 120 females and 80 males. To save time, he posts a sign in the mall to solicit volunteers. He includes 120 female volunteers and 80 male volunteers in his sample. Cluster sampling Stratified random sampling Quota sampling Convenience sampling

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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Suppose a researcher is interested in the
shopping preferences of consumers at a
local mall. Since he believes men and
women have different preferences, the
researcher decides to stratify the
population by gender. From past data, he
knows that roughly 60% of mall shoppers
are female. He wants a sample of size 200.
To get a proportional sample, he decides to
sample 120 females and 80 males. To save
time, he posts a sign in the mall to solicit
volunteers. He includes 120 female
volunteers and 80 male volunteers in his
sample.
Cluster sampling
Stratified random sampling
Quota sampling
Convenience sampling
Transcribed Image Text:Suppose a researcher is interested in the shopping preferences of consumers at a local mall. Since he believes men and women have different preferences, the researcher decides to stratify the population by gender. From past data, he knows that roughly 60% of mall shoppers are female. He wants a sample of size 200. To get a proportional sample, he decides to sample 120 females and 80 males. To save time, he posts a sign in the mall to solicit volunteers. He includes 120 female volunteers and 80 male volunteers in his sample. Cluster sampling Stratified random sampling Quota sampling Convenience sampling
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