Of 1,050 randomly selected adults, 360 identified themselves as manual laborers, 280 identified themselves as non-manual wage earners, 250 identified themselves as mid-level managers, and 160 identified themselves as executives. In the survey, 82% of manual laborers preferred trucks, 62% of non-manual wage earners preferred trucks, 54% of mid-level managers preferred trucks, and 26% of executives preferred trucks. Suppose we want to lower the sampling error. What is one way to accomplish that? O decrease the sample size O decrease the standard deviation increase the standard deviation O increase the sample size O lower the proportion

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 6E
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of 1,050 randomly selected adults, 360 identified themselves as manual laborers, 280 identified themselves as non-manual wage
earners, 250 identified themselves as mid-level managers, and 160 identified themselves as executives. In the survey, 82% of
manual laborers preferred trucks, 62% of non-manual wage earners preferred trucks, 54% of mid-level managers preferred
trucks, and 26% of executives preferred trucks.
Suppose we want to lower the sampling error. What is one way to accomplish that?
O decrease the sample size
decrease the standard deviation
O increase the standard deviation
increase the sample size
O lower the proportion
Transcribed Image Text:of 1,050 randomly selected adults, 360 identified themselves as manual laborers, 280 identified themselves as non-manual wage earners, 250 identified themselves as mid-level managers, and 160 identified themselves as executives. In the survey, 82% of manual laborers preferred trucks, 62% of non-manual wage earners preferred trucks, 54% of mid-level managers preferred trucks, and 26% of executives preferred trucks. Suppose we want to lower the sampling error. What is one way to accomplish that? O decrease the sample size decrease the standard deviation O increase the standard deviation increase the sample size O lower the proportion
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