document.write( "Question 1120540: A car dealer states that a new brand of car gets 35 miles per gallon on average. Suppose a consumer group claims that these cars get less than 35 miles per gallon. A sample of 40 cars is selected, and the sample mean for the 40 cars is 33 miles per gallon while the standard deviation is 3.8.\r
\n" ); document.write( "\n" ); document.write( "1) State the null and alternative hypotheses for this test.
\n" ); document.write( "2) Calculate the test statistic for this test. Explain what this test statistic represents.
\n" ); document.write( "3) Use technology to calculate the p-value for this test. Explain what this p-value represents.
\n" ); document.write( "4) State the conclusion for this test at the 0.05 level of significance. Do you think the car dealer is telling the truth? Why or why not?
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Algebra.Com's Answer #736206 by Boreal(15235)\"\" \"About 
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Ho: mean is >=35
\n" ); document.write( "Ha: mean is not
\n" ); document.write( "alpha=0.05
\n" ); document.write( "test stat is a t 0.95, df=39
\n" ); document.write( "critical value t < -1.69. If the test statistic is less than -1.69, it will be considered to be outside the possibility of a chance random effect. One way test
\n" ); document.write( "test statistic t=(33-35)/3.8/sqrt (40) (mbar-mean)/s/sqrt(n)
\n" ); document.write( "t=-2*sqrt(40)/3.8=-3.33. This is the number of sd s in the t-distribution for data with a mean of 35 and s of 3.8 with df=39.
\n" ); document.write( "p value=0.001. If the null hypothesis were true, the probability of getting a result of this magnitude or less is one in a thousand.
\n" ); document.write( "Reject Ho and conclude that the mean is less than 35 mpg. \r
\n" ); document.write( "\n" ); document.write( "There are many such reasons for this including the dealer is not telling the truth; that is not a statistical conclusion given what is given.\r
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