document.write( "Question 980611: Assume that a simple random sample has been selected from a normally distributed population and test the given claim.
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document.write( "Use either the traditional method or P-value method as indicated. Identify the null and alternative hypotheses, test
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document.write( "statistic, critical value(s) or P-value (or range of P-values) as appropriate, and state the final conclusion that addresses the
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document.write( "original claim.
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document.write( "Use a significance level of = 0.05 to test the claim that μ = 32.6. The sample data consist of
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document.write( "15 scores for which x = 42.5 and s = 5.9. Use the traditional method of testing hypotheses. \n" );
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Algebra.Com's Answer #601732 by jim_thompson5910(35256)![]() ![]() ![]() You can put this solution on YOUR website! alpha = 0.05 \n" ); document.write( "xbar = 42.5 \n" ); document.write( "s = 5.9 \n" ); document.write( "n = 15 \n" ); document.write( "df = n-1 = 15 - 1 = 14 \n" ); document.write( "We will use the T distribution because n > 30 is not true and we don't know sigma.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Hypothesis: \n" ); document.write( "H0: mu = 32.6 \n" ); document.write( "H1: mu =/= 32.6\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Claim is in the null hypothesis H0. This is a two tailed test. The null will be rejected if the test statistic is not between the critical values.\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 = (42.5 - 32.6)/(5.9/sqrt(15)) \n" ); document.write( "t = 6.49873476736499 \n" ); document.write( "t = 6.4987\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Critical Values (alpha = 0.05, df = 14)\r \n" ); document.write( "\n" ); document.write( "Use a table like this one to find the critical values to be -2.145 and 2.145\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "The test statistic 6.4987 is NOT between the critical values -2.145 and 2.145. So we reject the null hypothesis. There is enough statistically significant evidence to reject the null.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "This means that the population mean mu is NOT 32.6. The initial claim is false. \n" ); document.write( " \n" ); document.write( " |