What proportion of new drivers fail the written portion of their driver's license examination? You survey a random sample of 500 new drivers, and you find that 196 of them failed the written portion of their driving exam. Use this information to construct a 95% confidence interval in order to estimate the proportion of all new drivers who fail the written portion of their driving exam. As you construct the interval, round your sample proportion and margin of error to three decimal places as you are engaging in calculations, and choose the answer that is closest to what you calculate. A. 0.370 to 0.414 B. 0.349 to 0.435 C. 0.152 to 0.632 D 0357 to 0 427

MATLAB: An Introduction with Applications
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What proportion of new drivers fail the written portion of their driver's license
examination? You survey a random sample of 500 new drivers, and you find that 196 of
them failed the written portion of their driving exam. Use this information to construct a
95% confidence interval in order to estimate the proportion of all new drivers who fail
the written portion of their driving exam. As you construct the interval, round your
sample proportion and margin of error to three decimal places as you are engaging in
calculations, and choose the answer that is closest to what you calculate.
A. 0.370 to 0.414
B. 0.349 to 0.435
C. 0.152 to 0.632
D. 0.357 to 0.427
E. 0.323 to 0.461
Transcribed Image Text:What proportion of new drivers fail the written portion of their driver's license examination? You survey a random sample of 500 new drivers, and you find that 196 of them failed the written portion of their driving exam. Use this information to construct a 95% confidence interval in order to estimate the proportion of all new drivers who fail the written portion of their driving exam. As you construct the interval, round your sample proportion and margin of error to three decimal places as you are engaging in calculations, and choose the answer that is closest to what you calculate. A. 0.370 to 0.414 B. 0.349 to 0.435 C. 0.152 to 0.632 D. 0.357 to 0.427 E. 0.323 to 0.461
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