OA. A 95% confidence interval must be wider than an 80% confidence interval in order to be more confident that it captures the true value of the population proportion. OB. An 80% confidence interval must be wider than a 95% confidence interval because it contains 100% -80% - 20% of the true population parameters, while the 95% confidence inte contains 100%-95% = 5% of the true population parameters. OC. A 95% confidence interval must be wider than an 80% confidence interval because it contains 95% of the true population parameters, while the 80% confidence interval only contain the true population parameters. O D. An 80% confidence interval must be wider than a 95% confidence interval order to be more confident that it captures the true value of the population proportion.

OA. A 95% confidence interval must be wider than an 80% confidence interval in order to be more confident that it captures the true value of the population proportion. OB. An 80% confidence interval must be wider than a 95% confidence interval because it contains 100% -80% - 20% of the true population parameters, while the 95% confidence inte contains 100%-95% = 5% of the true population parameters. OC. A 95% confidence interval must be wider than an 80% confidence interval because it contains 95% of the true population parameters, while the 80% confidence interval only contain the true population parameters. O D. An 80% confidence interval must be wider than a 95% confidence interval order to be more confident that it captures the true value of the population proportion.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 30PPS

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