document.write( "Question 1058050: Testing the variance \r
\n" ); document.write( "\n" ); document.write( "Suppose an airline claims that its flights are consistently
\n" ); document.write( "on time with an average delay of at most 15 minutes. It claims that the average delay is so consistent that the variance is no
\n" ); document.write( "more than 150 minutes. Doubting the consistency part of the claim, a disgruntled traveler calculates the delays for his next
\n" ); document.write( "25 flights. The average delay for those 25 flights is 22 minutes with a standard deviation of 15 minutes.\r
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\n" ); document.write( "\n" ); document.write( " My questions below\r
\n" ); document.write( "\n" ); document.write( "what is the df=_______ ?\r
\n" ); document.write( "\n" ); document.write( "Let a= 0.05
\n" ); document.write( "Decision ________
\n" ); document.write( "Conclusion write out in complete sentence
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Algebra.Com's Answer #673084 by rothauserc(4718)\"\" \"About 
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Our Ho is variance = 150 minutes and H1 is variance > 150 minutes
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\n" ); document.write( "degrees of freedom(df) = sample size - 1 = 25 - 1 = 24
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\n" ); document.write( "Note that variance = (standard deviation)^2
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\n" ); document.write( "variance of the sample = 15^2 = 225
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\n" ); document.write( "H1 does not contain an =, therefore we use a one-tailed test
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\n" ); document.write( "Our test statistic is calculated
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\n" ); document.write( "c = ((25 - 1) * 225) / 150 = 36
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\n" ); document.write( "alpha(a) = 0.05
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\n" ); document.write( "we check the chi-square distribution table
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\n" ); document.write( "df of 24 and a = 0.05 gives us a probability value(p-value) of 0.0549
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\n" ); document.write( "since our p-value > 0.05, there is no reason to reject our null hypothesis(Ho)
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