document.write( "Question 1041325: You receive a brochure from a large university. The brochure indicates that the mean class size for full-time faculty is fewer than 32 students. You want to test this claim. You randomly select 18 classes taught by full-time faculty and determine the class size of each. The results are shown in the table below. At aαequals=0.05, can you support the university's claim?
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document.write( "35 28 29 33 32 40 27 26 25 29 28 30 36 33 29 30 28 25
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document.write( "A. What is the P value? \n" );
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Algebra.Com's Answer #656281 by jim_thompson5910(35256)![]() ![]() ![]() You can put this solution on YOUR website! \n" ); document.write( "Given Data Set \n" ); document.write( "{35,28,29,33,32,40,27,26,25,29,28,30,36,33,29,30,28,25}\r \n" ); document.write( "\n" ); document.write( "Using a calculator, we find that \n" ); document.write( "sample mean = xbar = 30.16667 \n" ); document.write( "sample standard deviation = s = 4.00367\r \n" ); document.write( " \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Hypothesis \n" ); document.write( "H0: mu >= 32 \n" ); document.write( "H1: mu < 32 \n" ); document.write( "This is a one-tailed test. Specifically a left-tailed test. \r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Test statistic: \n" ); document.write( "t = (xbar - mu)/(s/sqrt(n)) \n" ); document.write( "t = (30.16667 - 32)/(4.00367/sqrt(18)) \n" ); document.write( "t = -1.9427 5763 2601 19 \n" ); document.write( "t = -1.94\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Now use a TI83 or TI84 calculator to compute the area to left of t = -1.94\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Type in tcdf(-99,-1.94,17) to get the result 0.0344\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "So the p-value is approximately 0.0344\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Side note: because the p value is smaller than alpha = 0.05, this means we reject the null hypothesis and conclude that the mean (mu) is smaller than 32 \n" ); document.write( " \n" ); document.write( " |