A soccer ball manufacturer wants to estimate the mean circumference of soccer balls within 0.18 inch.(a) Determine the minimum sample size required to construct a 99% confidence interval for the population mean.Assume the population standard deviation is 0.7 inch.(b) The sample mean is 28.5 inches. With a sample size of 110, a 99% level of confidence, and a populationstandard deviation of 0.7 inch, does it seem possible that the population mean could be less than 28.6 inches?Explain.Click here to view page 1 of the Standard Normal Table. Click here to view page 2 of the Standard Normal Table.(a) The minimum sample size required to construct a 99% confidence interval is(Round up to the nearest whole number.)soccer balls.

Step 1:From the provided information,Confidence level = 99%The z critical value at 99% confidence…

Answered: A soccer ball manufacturer wants to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The u.s census bureau conducts a study to determine the time needed to complete a certain form. The bureau surveys 200 people. The sample mean is 8.2 minutes and there is a known population standard deviation of 2.2 minutes. The population distribution is aimed to be normal. Construct a 99% confidence interval for the population mean.
The length of a certain type of fish is normally distributed with mean and standard deviation sigma = 2.4 inches. The margin of error for a 99% confidence interval is desired to be 0.08 inches. What should be the sample size?
You want to estimate the mean weight of quarters in circulation. A sample of 60 quarters has a mean weight of 5.682 grams and a standard deviation of 0.061 gram. Use a single value to estimate the mean weight of all quarters. Also, find the 95% confidence interval for the average weight of all quarters. The estimate for the mean weight of all quarters is (Round to three decimal places as needed.) grams. Find the 95% confidence interval for the mean weight of all quarters. grams < p< grams (Round to three decimal places as needed.)
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You want to estimate the mean weight of quarters in circulation. A sample of 50 quarters has a mean weight of 5.658 grams and a standard deviation of 0.064 gram. Use a single value to estimate the mean weight of all quarters. Also, find the 95% confidence interval for the average weight of all quarters. grams. The estimate for the mean weight of all quarters is (Round to three decimal places as needed.) Find the 95% confidence interval for the mean weight of all quarters. grams<μ< grams (Round to three decimal places as needed.)
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