FIND ONLY D.Please provide it neatly with indicated given, formula, solution, and answer. 2009661674612010603395390Given: sample mean = 225Standard deviation = 442.9413n = 20Albay2011542858464a. Find the margin of error using confidence level of 99%.b. Construct a 99% confidence interval2012511323090d. How many crimes must be included in your sample if you want a 99% confident?e. Find the critical value for 99% confidence level based on your computed sample size.201351351838114

GIVEN:- Sample mean=225 standard deviation=442.9413 n=20 TO calculate the number of crimes first we…

Answered: Given: sample mean = 225 Standard…

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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925 people were surveyed and 60% of them are in favor of to the used of street cameras issuing tickets a- Find the margin of error E corresponds to a 95% confidence level. 0.0169 0.0457 0.0265 0.0316
The local police department attempted to estimate average vehicle speeds along a strip of Main Street. Using hidden radar, the velocity of a random group of 32 vehicles was measured, yielding a sample average of 36 mph. Assume a population standard deviation of 4 mph. A-Find the standard error of the mean. B- Find the 95% (two - tailed) confidence interval for the population mean. c. How many total vehicles would we need to measure if we wanted our confidence interval to be half as large?
As an aid to the establishment of personnel requirements, the director of a hospital wishes to estimate the mean number of people who are admitted to the emergency room during a 24 hour period. The director randomly selects 64 different 24-hour periods and determines the number of admissions for each. For this sample, he calculated a mean a 396 and a standard deviation of 100. The 95% confidence interval results in an interval of 396 +/- 24.9793. Identify the sampling error or margin of error. 396 +/- 24.9793 100/√64 95%
The Ball Corporation's beverage can manufacturing plant in Fort Atkinson, Wisconsin, uses a metal supplier that provides metal with a known thickness standard deviation σ = .000652 mm. Assume a random sample of 52 sheets of metal resulted in an x¯x¯ = .3373 mm. Calculate the 95 percent confidence interval for the true mean metal thickness. The 95% confidence interval is from _____ to ______.
Determine the sample size necessary to construct a 90% confidence interval with an error of 0.07 if the sample proportion is ˆpp^ = 71957195. n = Determine the sample size necessary to construct a 85% confidence interval with an error of 0.58 if the population standard deviation is known to be σσ = 9.29. n =
A survey of 50 retail stores revealed that the average price of a microwave was $375 with a sample standard deviation of $20. Assuming the population is normally distributed, what is the 99% confidence interval to estimate the true cost of the microwave? 367.42 to 382.58 323.40 to 426.60 335.82 to 414.28 please use a good hand writting
In a random sample of six people, the mean driving distance to work was 23.2 miles and the standard deviation was 6.4 miles. Assume the population is normally distributed and use the t-distribution to find the margin of error and construct a 90% confidence interval for the population mean μ. Idenitfy te Margin of error ? Construct a 99% confidence interval for the population mean. (____, _____)
A quality control specialist for a restaurant chain takes a random sample of size 10 to check the amount of soda served in the 16 oz. serving size. The sample mean is 13.20 with a sample standard deviation of 1.57. Assume the underlying population is normally distributed.Find the 95% confidence interval for the true population mean for the amount of soda served.
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A quality control specialist for a restaurant chain takes a random sample of size 12 to check the amount of soda served in the 16 oz. serving size. the sample mean is 13.70 with a sample standard deviation of 1.58. Assume the underlying population is normally distributed. Find the 95% confidence interval for the true population means for the amount of soda served.
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The Ball Corporation's beverage can manufacturing plant in Fort Atkinson, Wisconsin, uses a metal supplier that provides metal with a known thickness standard deviation σ = .000672 mm. Assume a random sample of 56 sheets of metal resulted in an x⎯⎯x¯ = .2737 mm. Calculate the 98 percent confidence interval for the true mean metal thickness. (Round your answers to 4 decimal places.)

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