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Some news organization maintain a database of customers who have volunteered to share their opinions on a variety of issues. Suppose that one of these databases includes 9000 registered voters in California. To measure the amount of support for a controversial ballot issue, 1000 registered voters in California are randomly selected from the database and asked their opinion. Which of the following is the largest population to which the results of this survey should be generalized? 3 The 1000 people in the sample. All California residents. All registered voters in California. The 9000 registered voters from California in the database. A local news agency conducted a survey about unemployment by randomly dialing phone numbers until it had gatherd response from 1000 adults in the state. In the survey, 19% of those who responded said they were not currently employed. In reality, only 6% of the adults in the state were not currently employed at the time of the survey. Which of the following best explains the difference in the two percentages? 4 The differene is due to sampling variability. We shouldn't expect the results of a random sample to match the truth about the population every time. The difference is due to response bias. Adülts who are employed are likely to lie and say that they are unemployed. The difference is due to undercoverage. The survey included only adults and did not include teenagers who are eligible to work. The difference is due to nonresponse. Adults who are employed are less likely to sample than the adults who are unemployed. available for the

Some news organization maintain a database of customers who have volunteered to share their opinions on a variety of issues. Suppose that one of these databases includes 9000 registered voters in California. To measure the amount of support for a controversial ballot issue, 1000 registered voters in California are randomly selected from the database and asked their opinion. Which of the following is the largest population to which the results of this survey should be generalized? 3 The 1000 people in the sample. All California residents. All registered voters in California. The 9000 registered voters from California in the database. A local news agency conducted a survey about unemployment by randomly dialing phone numbers until it had gatherd response from 1000 adults in the state. In the survey, 19% of those who responded said they were not currently employed. In reality, only 6% of the adults in the state were not currently employed at the time of the survey. Which of the following best explains the difference in the two percentages? 4 The differene is due to sampling variability. We shouldn't expect the results of a random sample to match the truth about the population every time. The difference is due to response bias. Adülts who are employed are likely to lie and say that they are unemployed. The difference is due to undercoverage. The survey included only adults and did not include teenagers who are eligible to work. The difference is due to nonresponse. Adults who are employed are less likely to sample than the adults who are unemployed. available for the

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Some news organization maintain a database of customers who have volunteered to share their opinions on a variety of issues. Suppose that one of these databases includes 9000 registered voters in California. To measure the amount of support for a controversial ballot issue, 1000 registered voters in California are randomly selected from the database and asked their opinion. Which of the following is the largest population to which the results of this survey should be generalized? 3 The 1000 people in the sample. All California residents. All registered voters in California. The 9000 registered voters from California in the database. A local news agency conducted a survey about unemployment by randomly dialing phone numbers until it had gatherd response from 1000 adults in the state. In the survey, 19% of those who responded said they were not currently employed. In reality, only 6% of the adults in the state were not currently employed at the time of the survey. Which of the following best explains the difference in the two percentages? 4. The differene is due to sampling variability. We shouldn't expect the results of a random sample to match the truth about the population every time. The difference is due to response bias. Adults who are employed are likely to lie and say that they are unemployed. The difference is due to undercoverage. The survey included only adults and did not include teenagers who are eligible to work. The difference is due to nonresponse. Adults who are employed are less likely to be available for the sample than the adults who are unemployed.
Transcribed Image Text:Some news organization maintain a database of customers who have volunteered to share their opinions on a variety of issues. Suppose that one of these databases includes 9000 registered voters in California. To measure the amount of support for a controversial ballot issue, 1000 registered voters in California are randomly selected from the database and asked their opinion. Which of the following is the largest population to which the results of this survey should be generalized? 3 The 1000 people in the sample. All California residents. All registered voters in California. The 9000 registered voters from California in the database. A local news agency conducted a survey about unemployment by randomly dialing phone numbers until it had gatherd response from 1000 adults in the state. In the survey, 19% of those who responded said they were not currently employed. In reality, only 6% of the adults in the state were not currently employed at the time of the survey. Which of the following best explains the difference in the two percentages? 4. The differene is due to sampling variability. We shouldn't expect the results of a random sample to match the truth about the population every time. The difference is due to response bias. Adults who are employed are likely to lie and say that they are unemployed. The difference is due to undercoverage. The survey included only adults and did not include teenagers who are eligible to work. The difference is due to nonresponse. Adults who are employed are less likely to be available for the sample than the adults who are unemployed.
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