10. A supermarket conducted a survey of 1000 consumers. Their population was "adults who shop for groceries." Use specifi examples to explain how the following biases could have had the following effects: a. How could sampling bias have made it seem like adults eat more bread than in reality? b. How could non-response bias have made it seem like adults eat less fruit than in reality? c. How could response bias have made it seem like adults eat more vegetables than in reality? d. How could measurement bias have made it seem like adults drink more coffee than in reality?

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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10. A supermarket conducted a survey of 1000 consumers. Their population was "adults who shop for groceries." Use specific
examples to explain how the following biases could have had the following effects:
a. How could sampling bias have made it seem like adults eat more bread than in reality?
b. How could non-response bias have made it seem like adults eat less fruit than in reality?
c. How could response bias have made it seem like adults eat more vegetables than in reality?
d. How could measurement bias have made it seem like adults drink more coffee than in reality?
Transcribed Image Text:10. A supermarket conducted a survey of 1000 consumers. Their population was "adults who shop for groceries." Use specific examples to explain how the following biases could have had the following effects: a. How could sampling bias have made it seem like adults eat more bread than in reality? b. How could non-response bias have made it seem like adults eat less fruit than in reality? c. How could response bias have made it seem like adults eat more vegetables than in reality? d. How could measurement bias have made it seem like adults drink more coffee than in reality?
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