document.write( "Question 851042: Which of the following is true and applicable of the Central Limit Theorem?\r
\n" ); document.write( "\n" ); document.write( "Check all that apply\r
\n" ); document.write( "\n" ); document.write( "Question 2 options:
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\n" ); document.write( "The sample drawn from the population doesn't have to be randomized as long as the population is normal.\r
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\n" ); document.write( "The sample can be from any population, even a non-normal population as long as the sample is randomized and larger than 25 or 30.\r
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\n" ); document.write( "The mean of the sample distribution is equal to the mean of the population distribution.\r
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\n" ); document.write( "The standard deviation of the sampling distribution is equal to the population distribution divided by the square root of the number in the sample.\r
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\n" ); document.write( "As the number in the sample becomes larger and larger, then the mean of the sampling distribution is equal to the population distribution for any normal population.
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Algebra.Com's Answer #512523 by stanbon(75887)\"\" \"About 
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Which of the following is true and applicable of the Central Limit Theorem?
\n" ); document.write( "Check all that apply
\n" ); document.write( "Question 2 options:\r
\n" ); document.write( "\n" ); document.write( "The sample drawn from the population doesn't have to be randomized as long as the population is normal.:: false
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\n" ); document.write( "The sample can be from any population, even a non-normal population as long as the sample is randomized and larger than 25 or 30 :: true
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\n" ); document.write( "The mean of the sample distribution is equal to the mean of the population distribution:: true
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\n" ); document.write( "The standard deviation of the sampling distribution is equal to the population distribution divided by the square root of the number in the sample:: true
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\n" ); document.write( "As the number in the sample becomes larger and larger, then the mean of the sampling distribution is equal to the population distribution for any normal population:: ?
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\n" ); document.write( "Cheers,
\n" ); document.write( "Stan H.
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