Standard Error from a Formula and a Bootstrap Distribution Use StatKey or other technology to generate a bootstrap distribution of sample proportions and find the standard error for that distribution. Compare the result to the standard error given by the Central Limit Theorem, using the sample proportion as an estimate of the population proportion p. Proportion of lie detector trials in which the technology misses a lie, with n = 51 and p = 0.381 Click here to access StatKey. Round your answer for the bootstrap SE to two decimal places, and your answer for the formula SE to three decimal places. Bootstrap SE = Formula SE= ! !

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Standard Error from a Formula and a Bootstrap Distribution
Use StatKey or other technology to generate a bootstrap distribution of sample proportions and find the standard error for that
distribution. Compare the result to the standard error given by the Central Limit Theorem, using the sample proportion as an estimate
of the population proportion p.
Proportion of lie detector trials in which the technology misses a lie, with n = 51 and p = 0.381
Click here to access StatKey.
Round your answer for the bootstrap SE to two decimal places, and your answer for the formula SE to three decimal places.
Bootstrap SE =
Formula SE=
!
!
Transcribed Image Text:Standard Error from a Formula and a Bootstrap Distribution Use StatKey or other technology to generate a bootstrap distribution of sample proportions and find the standard error for that distribution. Compare the result to the standard error given by the Central Limit Theorem, using the sample proportion as an estimate of the population proportion p. Proportion of lie detector trials in which the technology misses a lie, with n = 51 and p = 0.381 Click here to access StatKey. Round your answer for the bootstrap SE to two decimal places, and your answer for the formula SE to three decimal places. Bootstrap SE = Formula SE= ! !
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