document.write( "Question 1206822: Random samples of size 53 are drawn from a population with mean 104.3 and standard deviation 21.8. Find the mean and the standard deviation of the sample mean. Round to four decimal places. \n" ); document.write( "
Algebra.Com's Answer #844485 by Theo(13342)\"\" \"About 
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given the population mean and the population standard deviation, .....\r
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\n" ); document.write( "\n" ); document.write( "the mean of the distribution of sample means is equal to the population mean.\r
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\n" ); document.write( "\n" ); document.write( "the standard deviation of the distribution of sample means is equal to the population standard deviation divided by the square root of the sample size.\r
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\n" ); document.write( "\n" ); document.write( "in this problem,...\r
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\n" ); document.write( "\n" ); document.write( "mean of distribution of sample means = 104.3.\r
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\n" ); document.write( "\n" ); document.write( "standard deviation of distribution of sample means = 21.8 / sqrt(53) = 2.9945 rounded to 4 decimal places.\r
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\n" ); document.write( "\n" ); document.write( "note that the standard deviation of sample means is also called standard error.\r
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\n" ); document.write( "\n" ); document.write( "here is a reference on the central limit theorem which is the theory behind the meaning of the distribution of sample means.\r
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\n" ); document.write( "\n" ); document.write( "https://www.scribbr.com/statistics/central-limit-theorem/#:~:text=The%20central%20limit%20theorem%20states,population%20isn't%20normally%20distributed.\r
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\n" ); document.write( "\n" ); document.write( "there are many references on the web for the central limit theorem.
\n" ); document.write( "if this one doesn't satisfy you, select another, and another, until you find one that you can understand clearly.\r
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\n" ); document.write( "\n" ); document.write( "this one, i found to be pretty good and fairly easily explained.\r
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