document.write( "Question 973393: According to a survey in a country, 38% of adults do not have any credit cards. Suppose a simple random sample of 900 adults is obtained. \r
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document.write( "A) Determine the mean of the sampling distribuiton of p.\r
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document.write( "B) Determine the standard deviation of the sampling distribution of p. \r
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document.write( "C) In a random sample of 900 adults, what is the probability that less than 36% have no credit cards? \n" );
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Algebra.Com's Answer #595575 by Boreal(15235) You can put this solution on YOUR website! The mean of the sampling distribution is the point estimate, which is 0.38 or 342 adults from 900.\r \n" ); document.write( "\n" ); document.write( "The standard deviation is \n" ); document.write( "sqrt {[(p)(1-p)]/(900)}\r \n" ); document.write( "\n" ); document.write( "This is sqrt {(0.38)*(0.62)/900}\r \n" ); document.write( "\n" ); document.write( "=sqrt (0.0002618)=0.0162. This is the standard deviation of the sampling distribution.\r \n" ); document.write( "\n" ); document.write( "The z-value for the random sample is {0.36-0.38)/0.0162; it is the sample-the postulated mean all divided by the standard error of the sampling distribution.\r \n" ); document.write( "\n" ); document.write( "This is (-.02/0.0162), and we want the area on the normal distribution to the left of z< -1.234\r \n" ); document.write( "\n" ); document.write( "We would expect with a large sample to have a fairly small probability of being 2% away. As a rough guide, the error is 1/sqrt (n), here about 3%. But when the probability differs from 50%, which it does, the error is less. \r \n" ); document.write( "\n" ); document.write( "Probability is 0.1085. A z-score of -1.28 is the 10th percentile, so this is reasonable. \n" ); document.write( " |