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ооооо The margin of error is too high for an interval with a confidence level of 95% Taking into account the purpose of a confidence interval described in Section 10.1, explain what is wrong with the following statement: "Based on the survey data, a 95% confidence interval estimate of the sample proportion is 0.091 to 0.119." A confidence interval is an interval that estimates a population parameter, not a sample statistic. A confidence interval can only be calculated using data from the entire population, not with sample data from a survey. A confidence interval is an interval that estimates a sample statistic, not a population parameter. The margin of error is too low for an interval with a confidence level of 95%

ооооо The margin of error is too high for an interval with a confidence level of 95% Taking into account the purpose of a confidence interval described in Section 10.1, explain what is wrong with the following statement: "Based on the survey data, a 95% confidence interval estimate of the sample proportion is 0.091 to 0.119." A confidence interval is an interval that estimates a population parameter, not a sample statistic. A confidence interval can only be calculated using data from the entire population, not with sample data from a survey. A confidence interval is an interval that estimates a sample statistic, not a population parameter. The margin of error is too low for an interval with a confidence level of 95%

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 8SGR
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ооооо The margin of error is too high for an interval with a confidence level of 95% Taking into account the purpose of a confidence interval described in Section 10.1, explain what is wrong with the following statement: "Based on the survey data, a 95% confidence interval estimate of the sample proportion is 0.091 to 0.119." A confidence interval is an interval that estimates a population parameter, not a sample statistic. A confidence interval can only be calculated using data from the entire population, not with sample data from a survey. A confidence interval is an interval that estimates a sample statistic, not a population parameter. The margin of error is too low for an interval with a confidence level of 95%
Transcribed Image Text:ооооо The margin of error is too high for an interval with a confidence level of 95% Taking into account the purpose of a confidence interval described in Section 10.1, explain what is wrong with the following statement: "Based on the survey data, a 95% confidence interval estimate of the sample proportion is 0.091 to 0.119." A confidence interval is an interval that estimates a population parameter, not a sample statistic. A confidence interval can only be calculated using data from the entire population, not with sample data from a survey. A confidence interval is an interval that estimates a sample statistic, not a population parameter. The margin of error is too low for an interval with a confidence level of 95%
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