Determine the point estimate of the population proportion, the margin of error for the following confidence interval, and the number of individuals in the sample with the specified characteristic, x, for thesample size provided.Lower bound=0.392, upper bound = 0.838, n = 1200The point estimate of the population proportion is(Round to the nearest thousandth as needed.)

The upper and lower bound of the confidence interval are given as:

Answered: Determine the point estimate of the…

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 data below are the ages of a random sample of 8 men in a bar. It is known that the population of ages are normally distributed with a standard deviation of 12. Determine the 93% confidence interval estimate of the population mean. 55,67,24,34,60,36,26,46 Note: For each confidence interval, enter your answer in the form (LCL, UCL). You must include the parentheses and the comma between the confidence limits.
Calculate the margin of error of a confidence interval for the difference between two population means using the given information. Round your answer to six decimal places. σ1=4.52 , n1=113, σ2=7.72, n2=105, c=0.95
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The estimate of the population proportion should be within plus or minus .05, with a 95% level of confidence. The best estimate of the population proportion is 15. How large a sample is required? (Use z Distribution Table) ( Round z-value to 2 decimal places and round up your answer to the next whole number) What is the sample size?
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Using the given margin of error, confidence level, and likely range for the observed value of the sample proportion, obtain a sample size that will ensure a margin of error of at most the one specified (provided, of course, that the observed value of the sample proportion is further from 0.5 than the educated guess). margin of error = 0.01; confidence level = 95%; likely range = 0.3 to 0.4 The required sample size is n = (Round up to the nearest whole number.)
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