MATLAB: An Introduction with Applications
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Author: Amos Gilat
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A) A population proportion is to be estimated. Estimate the minimum sample size needed to achieve a margin of error of E = 0.031 with a 95% degree of confidence.
B) A population mean is to be estimated. Estimate the sample size needed to obtain a margin or error of E = 3 and standard deviation = 6 with 95% degree of confidence.
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- What is the rejection region? Select the correct choice below and fill in the answer box(es) within your choice. (Round to three decimal places as needed.) O A. z O B. z > OC z< (c) Find the standardized test statistic z. z= (Round to two decimal places as needed.) (d) Decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the original claim. Vthe wind speed in Region B. V the researcher's claim that the wind speed in Region A is H. There enough evidence at the 5% level of significance toarrow_forwardAssume that a sample is used to estimate a population mean μμ. Find the margin of error M.E. that corresponds to a sample of size 22 with a mean of 18.9 and a standard deviation of 14.6 at a confidence level of 99.9%.Report ME accurate to one decimal place because the sample statistics are presented with this accuracy.arrow_forwardTo compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.7 feet. The mean braking distance for Make B is 45 feet. Assume the population standard deviation is 4.4 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) rari rz (b) Find the critical value(s) and identify the rejection region(s). The critical value(s) is/are (Round to three decimal places as needed. Use a comma to separate answers as needed.)arrow_forward
- Determine the minimum sample size required when you want to be 95% confident that the sample mean is within two units of the population mean and = 4.3. Assume the population is normally distributed. n =arrow_forwardIf the actual deviation rate in the sample is greater than the expected deviation rate: The achieved upper deviation rate is less than the tolerable rate. The achieved upper deviation rate is greater than the tolerable rate. The sample result supports reliance on the control. The sample size was too large.arrow_forwardAssume that a sample is used to estimate a population proportion μμ. Find the margin of error M.E.that corresponds to a sample of size 84 with a mean of 79.2 and a standard deviation of 6.1 at a confidence level of 99.9%.Report ME accurate to one decimal place because the sample statistics are presented with this accuracy.arrow_forward
- Assume that a sample is used to estimate a population mean μ. Find the margin of error M.E. that corresponds to a sample of size 22 with a mean of 62.5 and a standard deviation of 9.6 at a confidence level of 80%.Report ME accurate to one decimal place because the sample statistics are presented with this accuracy. M.E. =arrow_forwardDetermine the point of estimate of the population mean and margin of error from the given information: Lower Bound: 5 Upper Bound: 23 Question 4 options: x¯= 15 E = 10 x¯= 12 E = 9 x¯= 13.5 E = 9 x¯= 14 E = 9arrow_forwardCalculate the sample size for a 95% confidence level, Margin of error of 500 and population standard deviation of 4500. Show the formula and calculation. Round up to a whole number.arrow_forward
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