document.write( "Question 1091883: CRA CDs Inc. wants the mean lengths of the \"cuts\" on a CD to be 145 seconds (2 minutes and 25 seconds). This will allow the disk jockeys to have plenty of time for commercials within each 10-minute segment. Assume the distribution of the length of the cuts follows the normal distribution with a population standard deviation of 10 seconds. Suppose we select a sample of 24 cuts from various CDs sold by CRA CDs Inc.
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document.write( "a. What can we say about the shape of the distribution of the sample mean?
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document.write( " Sample mean
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document.write( "b. What is the standard error of the mean? (Round your z-value to 2 decimal places and final answer to 2 decimal places.)
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document.write( " Standard error of the mean
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document.write( "What percent of the sample means will be greater than 150 seconds? (Round your z-value to 2 decimal places and final answer to 2 decimal places.)
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document.write( "d.
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document.write( "What percent of the sample means will be greater than 138 seconds? (Round your answer to 2 decimal places.)
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document.write( "e.
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document.write( "What percent of the sample means will be greater than 138 but less than 150 seconds? (Round your z-value to 2 decimal places and final answer to 2 decimal places.)
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Algebra.Com's Answer #707116 by Boreal(15235) You can put this solution on YOUR website! a. The sample mean is normally distributed with a smaller standard deviation and the same mean as the population, 2m25s \n" ); document.write( "b. The standard error of the mean is sigma/sqrt (n)=10 sec/sqrt(24)=2.04 sec. The std error is the std deviation of the sample. There is no z-value involved here. \n" ); document.write( "c. z > 2.45(xbar-mean)/SE=(150-145)/2.04. This would be 0.71% or 0.0071 \n" ); document.write( "d. z > (138-145)/2.04=-7/2.04 or z > -3.43 or 99.97% or 0.9997 \n" ); document.write( "d. z>150 sec is 0.0071 from above, so we would subtract that from d to get 0.9926 or 99.26%. \n" ); document.write( " \n" ); document.write( " |