document.write( "Question 1198046: Business Weekly conducted a survey of recent graduates from the top MBA programs. On the basis of the survey, assume that 75% of the recent graduates annual salary exceeds $75000. Suppose you take a simple random sample of 86 recent graduates.\r
\n" );
document.write( "\n" );
document.write( "Find the probability that more than 85% of the 86 recent graduates have an annual salary exceeding $75000. \n" );
document.write( "
Algebra.Com's Answer #831549 by ikleyn(52788)![]() ![]() You can put this solution on YOUR website! . \n" ); document.write( "Business Weekly conducted a survey of recent graduates from the top MBA programs. \n" ); document.write( "On the basis of the survey, assume that 75% of the recent graduates annual salary exceeds $75000. \n" ); document.write( "Suppose you take a simple random sample of 86 recent graduates. \n" ); document.write( "Find the probability that more than 85% of the 86 recent graduates have an annual salary exceeding $75000. \n" ); document.write( "~~~~~~~~~~~~~~~~\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " \r\n" ); document.write( "This problem is a binomial distribution with the number of trials n= 86,\r\n" ); document.write( "the probability of the individual success p= 75% = 0.75 and the number of \r\n" ); document.write( "succesful trials k > 0.85*86 = 73.1.\r\n" ); document.write( "\r\n" ); document.write( "\r\n" ); document.write( "Since n*p = 86*p.75 = 73.1 is greater than 5 and since n*(1-p) = 86*0.15 = 12.9 is greater than 5,\r\n" ); document.write( "the basis is provided to apply the normal approximation to the binomial approximation.\r\n" ); document.write( "\r\n" ); document.write( "\r\n" ); document.write( "So, we take the normal distribution with the mean m= p*n = 0.85*86 = 73.1 and the standard\r\n" ); document.write( "deviation SD =\r \n" ); document.write( "\n" ); document.write( "Solved.\r \n" ); document.write( " \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " \n" ); document.write( " |