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# Lower/Upper Bound

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An article reports that when each football helmet in a random sample of 44 suspension-type helmets was subjected to a certain impact test, 25 showed damage.
Let p denote the proportion of all helmets of this type that would show damage tested in the prescribed manner

Calculate the lower bound for a 99% confidence interval for p

Calculate the upper bound for a 99% confidence interval for p.

Calculate the sample size that would be required for the width of a 99% confidence interval to be at most 0.2? Use phat=1/2 to get the most conservative sample size.

##### Solution Summary

This solution calculates an upper and lower bound with a given confidence interval for p.

##### Solution Preview

An article reports that when each football helmet in a random sample of 44 suspension-type helmets was subjected to a certain impact test, 25 showed damage.
Let p denote the proportion of all helmets of this type that would show damage tested in the prescribed manner

Calculate the lower bound for a 99% confidence interval for p

Solution. The sample mean of the ...

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###### Education
• BSc , Wuhan Univ. China
• MA, Shandong Univ.
###### Recent Feedback
• "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
• "excellent work"
• "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
• "Thank you"
• "Thank you very much for your valuable time and assistance!"

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