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 SE to two decimal places, and your answer for the formula SE to three decimal places. Bootstrap SE= . Formula SE= .
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 SE to two decimal places, and your answer for the formula SE to three decimal places. Bootstrap SE= . Formula SE= .
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 25SGR
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Question
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 SE to two decimal places, and your answer for the formula SE to three decimal places.
Bootstrap SE= .
Formula SE= .
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