document.write( "Question 811546: 5. The average salary of senior managers in the construction industry is $180,000 per year. Suppose we would like to take a sample of senior managers at a newly established company XYZ to see whether the mean annual salary is different from that of the industry. (5 marks)\r
\n" );
document.write( "\n" );
document.write( "This is a two tailed test, because what I want to calculate is whether it is equal to, or not equal to x amount. I would call the industry mean o1 and company XYZ o2.\r
\n" );
document.write( "\n" );
document.write( "a. State the null and alternative hypotheses.\r
\n" );
document.write( "\n" );
document.write( "Null: Ho1 = Ho2: This states that the mean of one is the same as the second.
\n" );
document.write( "Alternative: Ho1 ≠ H02: This states that the mean of one is not the same as the second.\r
\n" );
document.write( "\n" );
document.write( "b. Suppose a sample of 40 senior managers at XYZ showed a sample mean annual salary of $170,000. Assume a population standard deviation of $30,000. With = .05 as the value of significance, what is your conclusion?\r
\n" );
document.write( "
\n" );
document.write( "\n" );
document.write( " First, I calculate the test statistic by:
\n" );
document.write( " Sample mean-population mean/ standard dev. x square root of sample
\n" );
document.write( " So, it becomes 170,000-180,000/ 30,000 x 6.32
\n" );
document.write( " I calculate this to be: -0.0527
\n" );
document.write( " Because z< 0, this represents the area in the lower tail
\n" );
document.write( " This means that the area below -0.0527 shows a probability of 0.4801
\n" );
document.write( " Because it is a two tailed test, I would double this and calculate 0.9602. \r
\n" );
document.write( "\n" );
document.write( "Using the P-value approach, and the rule of (reject null is p < a), it says I should accept null which is incorrect as the means are obviously different.\r
\n" );
document.write( "\n" );
document.write( " The two tailed rejection rule is to reject null is z <-1.96 or z > 1.96
\n" );
document.write( "ic
\n" );
document.write( "Using the critical value approach, I can determine that my test statistic is less than 1.96, which is the zvalue for a/2.\r
\n" );
document.write( "\n" );
document.write( "Why is it right one way, and not the other? \n" );
document.write( "
Algebra.Com's Answer #488801 by stanbon(75887)![]() ![]() ![]() You can put this solution on YOUR website! The average salary of senior managers in the construction industry is $180,000 per year. Suppose we would like to take a sample of senior managers at a newly established company XYZ to see whether the mean annual salary is different from that of the industry. (5 marks) \n" ); document.write( "This is a two tailed test, because what I want to calculate is whether it is equal to, or not equal to 180,000. \n" ); document.write( "-------------------------------------------- \n" ); document.write( "a. State the null and alternative hypotheses. \n" ); document.write( "Null: x-bar = 180,000. \n" ); document.write( "Alternative: x-bar # 180,000 \n" ); document.write( " \n" ); document.write( "b. Suppose a sample of 40 senior managers at XYZ showed a sample mean annual salary of $170,000. Assume a population standard deviation of $30,000. With alpha = .05 as the value of significance, what is your conclusion?\r \n" ); document.write( "\n" ); document.write( "---- \n" ); document.write( "z(170,000) = (170,000-180,000)/[30,000/sqrt(40)] = -2/3 \n" ); document.write( "----- \n" ); document.write( "p-value = 2*P(z < -2/3) = 2*normalcdf(-100,-2/3) = 0.5050 \n" ); document.write( "----- \n" ); document.write( "Conclusion:: Since the p-value is greater than 5%, fail \n" ); document.write( "to reject Ho. \n" ); document.write( "================= \n" ); document.write( "Cheers, \n" ); document.write( "Stan H. \n" ); document.write( "----- \n" ); document.write( " \r \n" ); document.write( "\n" ); document.write( " \n" ); document.write( " |