document.write( "Question 263862: A sample of 25 concession stand purchases at the October 22 matinee of Bride of Chucky showed a mean purchase of $5.29 with a standard deviation of $3.02. For the October 26 evening showing of the same movie, for a sample of 25 purchases the mean was $5.12 witha standard deviation of $2.14. The mean appear to be very close, but not the variances. At α = .05, is there a difference in variances? Show all steps clearly, including an illustration of the decision rule. (Data are from a project by statistics students Kim Dyer, Amy Pease, and Lyndsey Smith.) \n" ); document.write( "
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\n" ); document.write( "A sample of 25 concession stand purchases at the October 22 matinee of Bride of Chucky showed a mean purchase of $5.29 with a standard deviation of $3.02. For the October 26 evening showing of the same movie, for a sample of 25 purchases the mean was $5.12 with a standard deviation of $2.14. The means appear to be very close, but not the variances. At the .05 level of significance, is there a difference in variances? Show all steps clearly, including an illustration of the decision rule.
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\n" ); document.write( "Ho: s^2(matinee)=s^2(evening)
\n" ); document.write( "Ha: s^2(matinee) is not equal to s^2(evening)
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\n" ); document.write( "Two-tailed test with alpha = 0.05
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\n" ); document.write( "Test Statistic: F = (2.14)^2/(3.02)^2 = 0.502127
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\n" ); document.write( "Critical Value:
\n" ); document.write( "numerator df's = 24 ; denominator df's = 24
\n" ); document.write( "F = 2.27
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\n" ); document.write( "Conclusion:
\n" ); document.write( "Since the Test Statistic is less than the Critical Value, Fail to
\n" ); document.write( "reject Ho.
\n" ); document.write( "The variances for matinee and evening are statistically equivalent.
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\n" ); document.write( "Cheers,
\n" ); document.write( "Stan H. \r
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