document.write( "Question 1162759: A random sample is drawn from a population with mean μ = 55 and standard deviation σ = 4.6. [You may find it useful to reference the z table.]\r
\n" );
document.write( "\n" );
document.write( " \r
\n" );
document.write( "\n" );
document.write( "a. Is the sampling distribution of the sample mean with n = 13 and n = 37 normally distributed?\r
\n" );
document.write( "\n" );
document.write( " \r
\n" );
document.write( "\n" );
document.write( " Yes, both the sample means will have a normal distribution.
\n" );
document.write( " No, both the sample means will not have a normal distribution.
\n" );
document.write( " No, only the sample mean with n = 13 will have a normal distribution.
\n" );
document.write( " No, only the sample mean with n = 37 will have a normal distribution.\r
\n" );
document.write( "\n" );
document.write( " \r
\n" );
document.write( "\n" );
document.write( "b. Calculate the probability that the sample mean falls between 55 and 57 for n = 37. (Round intermediate calculations to at least 4 decimal places, “z” value to 2 decimal places, and final answer to 4 decimal places.) \n" );
document.write( "
Algebra.Com's Answer #786598 by Boreal(15235)![]() ![]() You can put this solution on YOUR website! If the population is normally distributed, then the sampling distribution of both will be normal. \n" ); document.write( "If the population is not normally distributed, then it depends. \n" ); document.write( "Because the z-table is being used, and because sigma and not s is used, I would assume normality in the population and the answer is Yes.\r \n" ); document.write( "\n" ); document.write( "z=(57-55)/4.6/sqrt(37) \n" ); document.write( "=2*sqrt(37)/4.6=2.64 \n" ); document.write( "So between 55 (z=0) and 57 (z=2.6446) that probability is 0.4959 \n" ); document.write( " \n" ); document.write( " |