document.write( "Question 127648This question is from textbook Applie Statics in Business and Econmics
\n" ); document.write( ": I have been working with someone else on this problem and we are both stuck. Can you please give any help to this problem. Thanks so much!!!!
\n" ); document.write( "In Dallas, some fire trucks were painted yellow (instead of red) to heighten their visibility. During a test period, the fleet of red fire trucks made 153, 348 runs and had 20 accidents, while the fleet of yellow trucks made 135, 035 rund and had 4 accidents.
\n" ); document.write( "At a=.01, did the yellow fire trucks have a significantly lower accident rate?
\n" ); document.write( "A. State the hypotheses.
\n" ); document.write( "B. State the decision rule and sketch it.
\n" ); document.write( "C. Find the sample proportions and z test statistic.
\n" ); document.write( "D. Make a decision.
\n" ); document.write( "E. Find the p-value and interpret it.
\n" ); document.write( "F. If statistically significant, do you think the difference is large enough to be imporant? if so, to whom, and why?
\n" ); document.write( "G. Is the normality assumption fulfilled? Explain.
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Algebra.Com's Answer #93645 by stanbon(75887)\"\" \"About 
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In Dallas, some fire trucks were painted yellow (instead of red) to heighten their visibility.
\n" ); document.write( "During a test period, the fleet of red fire trucks made 153,348 runs and had 20 accidents, while the fleet of
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\n" ); document.write( "p-hat(red) = 20/153,348 = 1.304x10^-4
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\n" ); document.write( "yellow fire trucks made 135,035 runs and had 4 accidents.
\n" ); document.write( "p-hat(yellow) = 4/135035 = 2.9622x10-5
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\n" ); document.write( "At α = .01, did the yellow fire trucks have a significantly lower accident rate?
\n" ); document.write( "One-tail z-test: Critical value = 2.326
\n" ); document.write( "(a) State the hypothesis.
\n" ); document.write( "Ho: p(red)-p(yellow) = 0
\n" ); document.write( "Ha: p(red)-p(yellow) < 0
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\n" ); document.write( "(b) State the decision rule and sketch it.
\n" ); document.write( "? Not sure what is meant by this.
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\n" ); document.write( "(c) Find the sample proportions and z test statistic.
\n" ); document.write( "Test statistic:
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\n" ); document.write( "Note: p-bar= (4+20)/(153348+135035) = 8.3223x10^-5;q-bar=1-p-bar
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\n" ); document.write( "Test statistic
\n" ); document.write( "z(1.0078x10^-4) = 1.0078x10^-4/sqrt[(p-bar)(q-bar)/n1 + (p-bar)(q-bar)/n2]
\n" ); document.write( "= 2.9610
\n" ); document.write( "(d) Make a decision.
\n" ); document.write( "Since the test statistic is greater than the critical value, reject Ho.
\n" ); document.write( "p(red) is not equal to p(yellow)
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\n" ); document.write( "(e) Find the p-value and interpret it.
\n" ); document.write( "p-value = 0.0015 ; Only 0.15% of test results could have provided stronger
\n" ); document.write( "evidence for rejecting Ho.\r
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\n" ); document.write( "(f ) If statistically significant, do you think the difference is large enough to be important? If so, to whom, and why?
\n" ); document.write( "I'll leave that to you
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\n" ); document.write( "(g) Is the normality assumption fulfilled? Explain.
\n" ); document.write( "Show that p(red)n1>5, q(red)n1>5
\n" ); document.write( "and p(yellow)n2>5, q(yellow)n2>5
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\n" ); document.write( "Cheers,
\n" ); document.write( "Stan H.
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