15 New York Times bestselling fiction books had a standard deviation of 6.17 weeks on
the list. 16 New York Times bestselling nonfiction books had a standard deviation of
13.1 weeks. At the 10% significance level, can we conclude there is a difference in the
variance? Is there a difference between the variances of the number of weeks on the
best seller lists for nonfiction and fiction books?
Null and alternative hypothesis:
"\\begin{aligned}\n\n&\\mathrm{H}_{0}: \\sigma_{1}{ }^{2}=\\sigma_{2}{ }^{2} \\\\\n\n&\\mathrm{H}_{1}: \\sigma_{1}{ }^{2} \\neq \\sigma_{2}{ }^{2}\n\n\\end{aligned}"
Test statistic:
"\\mathrm{F}=\\mathrm{s}_{1}^{2} \/ \\mathrm{s}_{2}^{2}=38.0689 \/ 172.1344=0.22"
Degree of freedom:
"\\begin{aligned}\n\n&\\mathrm{df}_{1}=n_{1}-1=14 \\\\\n\n&\\mathrm{df}_{2}=n_{2}-1=14\n\n\\end{aligned}"
P-value:
P-value "=2^{*} F.DIST.RT (0.2212,14,14)=1.9921"
Conclusion:
As p-value ">\\alpha," we fail to reject the null hypothesis.
There is no difference in variances
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