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 peanuts in mixed nuts, with n=93 and p^=0.60. Click here to access StatKey. Round your answer for the bootstrap S⁢E to two decimal places, and your answer for the formula S⁢E to three decimal places. Bootstrap SE= . Formula SE= .

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Chapter 6, Section 1-CI, Exercise 028

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 peanuts in mixed nuts, with n=93 and p^=0.60.

Click here to access StatKey.

Round your answer for the bootstrap S⁢E to two decimal places, and your answer for the formula S⁢E to three decimal places.

Bootstrap SE= .

Formula SE= .

 
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