document.write( "Question 1137774: The treasurer of a municipality claims that the average net worth of families in this municipality is 730,000.00php. a random sample of 50 families selected from this area produced a mean net worth of 860,000.00php. with standard deviation of 65,000.00php. using 0.1 significance level, can we conclude that the claim is true? \n" ); document.write( "
Algebra.Com's Answer #755669 by Theo(13342)![]() ![]() You can put this solution on YOUR website! population mean is 730,000.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "sample size is 50.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "sample mean is 860,000.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "sample standard deviation is 65,000.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "since you do not have the population standard deviation, i believe you need to find the t-score rather than the z-score.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "since the sample size is quite large, the z-score would probably be close.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "using the z-score, you would get z = (860,000 - 730,000) / s\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "s is the stnadard error which is equal to standard deviation of the sample in this case divided by the square root of the sample size.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "that makes s = 65,000 / sqrt(50) = 9192.388155.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "the z-score is therefore (860,000 - 730,000) / 9192.388155 = 14.14213562.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "the critical z-score at 1% significance level is either 1.2i8... if it's a one tail distributuion, or 1.645... if it's a two tail distributuion.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "in either case, a z-score of 14 + is so far behyond this that there is no way the population average could be 730,000 if the sample average of 50 families is 860,000.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "if you do this using t-scores, you'll get a similar answer because the sample size is quite large, making the t-score get pretty close to the z-score.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "the critical t-score with 49 degrees of freedom and .1 significance level is somewhere between 1.303 and 1.296 for a tone tail distribution and somewhere between 1.684 and 1.671 for a two tail distribution.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "a t-score of 14 + is way beyond this as well.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "you would have to reject the claim that the population average is 730,000 based on the results of the sample taken.\r \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " \n" ); document.write( " |