Standard Error from a Formula and a Bootstrap
Distribution
Use StatKey or other technology to generate a bootstrap
distribution of sample means and find the standard error for that
distribution. Compare the result to the standard error given by the
Central Limit Theorem, using the sample standard deviation as an
estimate of the population standard deviation.
Mean commute time in Atlanta, in minutes, using the data in
CommuteAtlanta with n=500, x¯=29.11, and
s=20.72
Click here for the dataset associated with this question.
Click here to access StatKey.
Round your answers to two decimal places.
Bootstrap SE: | Enter your answer; Bootstrap SE |
Formula SE: | Enter your answer; Formula SE |
Standard Error from a Formula and a Bootstrap Distribution Use StatKey or other technology to generate a bootstrap distribution of sample means and find the standard error for that distribution. Comp...
Standard Error from a Formula and a Bootstrap Distribution Use StatKey or other technology to generate a bootstrap distribution of sample means and find the standard error for that distribution. Compare the result to the standard error given by the Central Limit Theorem, using the sample standard deviation as an estimate of the population standard deviation. Mean commute time in Atlanta, in minutes, using the data in CommuteAtlanta with n=500, x¯=29.11, and s=20.72 Click here for the dataset associated with...
Chapter 6, Section 2-CI, Exercise 100 Standard Error from a Formula and a Bootstrap Distribution Use Statkey or other technology to generate a bootstrap distribution of sample means and find the standard error for that distribution. Compare the result to the standard error given by the Central Limit Theorem, using the sample standard deviation as an estimate of the population standard deviation. Mean commute time in Atlanta, in minutes, using the data in CommuteAtlanta with n = 500,T-29. i î,...
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=90 and p^=0.58. Click here to access StatKey. Round your answer for the bootstrap SE to two decimal...
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Use the formula to find the standard error of the distribution of differences in sample means, X1 - X2 . Samples of size 100 from Population 1 with mean 92 and standard deviation 11 and samples of size 70 from Population 2 with mean 70 and standard deviation 15. Round your answer for the standard error to two decimal places. standard error =
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Use the formula to find the standard error of the distribution of differences in sample means, . Samples of size 120 from Population 1 with mean 82 and standard deviation 13 and samples of size 80 from Population 2 with mean 70 and standard deviation 18 Round your answer for the standard error to two decimal places.
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