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In a bumper test, three types of autos were deliberately crashed into a barrier at 5 mph, and the
\n" ); document.write( "resulting damage (in dollars) was estimated. Five test vehicles of each type were crashed, with
\n" ); document.write( "the results shown below. Research question: Are the mean crash damages the same for these three
\n" ); document.write( "vehicles? Crash1Crash Damage ($)
\n" ); document.write( "Goliath Varmint Weasel
\n" ); document.write( "1,600 1,290 1,090
\n" ); document.write( "760 1,400 2,100
\n" ); document.write( "880 1,390 1,830
\n" ); document.write( "1,950 1,850 1,250
\n" ); document.write( "1,220 950 1,920
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\n" ); document.write( "I entered the three columns of data into my TI-83 in L1, L2, L3
\n" ); document.write( "Ho: the means are equal
\n" ); document.write( "Ha: at least one of the means is different
\n" ); document.write( "--------------------------
\n" ); document.write( "I ran the ANOVA function against the data lists and got the following:
\n" ); document.write( "test statistic: F = 0.93665...
\n" ); document.write( "p-value = 0.4188
\n" ); document.write( "-------
\n" ); document.write( "Conclusion: Since the p-value is greater than 5%, fail to reject Ho.
\n" ); document.write( "The means are statistically equal.
\n" ); document.write( "======================
\n" ); document.write( "Cheers,
\n" ); document.write( "Stan H.
\n" ); document.write( " \n" ); document.write( "