27. Even if a population itself does not have a normal distribution, the sampling distribution will be normal as long asa. the sample is large|b. the population is smallc. the sample is stratified|d. the sample is normal28. The statistic we refer to as the "standard error of the mean" is the same asa. the standard deviation of the sampleb. the standard deviation of the population|c. the standard deviation of the sampling distribution of meansd. the variance of the sample29. When it comes to calculating confidence intervals the most commonly used confidence levels are 90%, 95% anda. 99.5%b. 98%с. 99%d. 67%30. The maximum allowed probability of making a Type I decision error in your estimate of the population value is calleda. the oddsb. alpha, ac. at testd. the error factor31. When using a sample mean as an estimate of the population parameter, we usually estimate the unknown population standard deviation witha. the sample standard deviation|b. the sampling distribution standard deviationc. the population parameterd. the z score 32. As our confidence in a confidence interval increases, the width of the intervala. decreasesb. increasesc. remains the samed. may either increase or decrease33. Аrefers to the range of scores that describes with some certainty the range of scores that the population parameter falls within.a. box plotb. averagec. confidence intervald. histogram34. A student takes a single sample of people and determines that their average income is $25,400.She knows that this estimate is likely to be somewhat wrong because of sampling error, so she decides to calculate a 95% confidence interval.She knows that the standard error of the sampling distribution is $629. What is the 95% confidence interval? (Hint: z=+/-1.96)|a. $24,771 to 26,029b. $25,000 to 26,000c. $25,029 to 26,529|d. $24,167 to 26,63335. We have used an alpha level of 0.01 in a test to estimate the average hours of television viewing for residents in a retirement home.After calculating a confidence interval what is the chance that our interval estimate DOES NOT contain the true population mean?a. 99%b. 10%с. 1%d. .01%

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Description: 27. Even if a population itself does not have a normal distribution, the sampling distribution will be normal as long asa. the sample is large|b. the population is smallc. the sample is stratified|d. the sample is normal28. The statistic we refer to

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a. the sample is large |b. the population is small c. the sample is stratified |d. the sample is normal statistic we refer to as the "standard error of the mean" is the san a. the standard deviation of the sample b. the standard deviation of the population

a. the sample is large |b. the population is small c. the sample is stratified |d. the sample is normal statistic we refer to as the "standard error of the mean" is the san a. the standard deviation of the sample b. the standard deviation of the population

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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