The students of same age group from two different schools were compared for variability in their mathematical skill. A random sample of 25 pupils from one school had a variance of 16 marks while a random sample of 22 pupils from the other school had a variance of 8 marks. Examine if the difference in variability is significant. [F at (24,21) at 5% level of significance is 2.05]
The following null and alternative hypotheses need to be tested:
"H_0:\\sigma_1^2\\leq\\sigma_2^2"
"H_1:\\sigma_1^2>\\sigma_2^2"
This corresponds to a right-tailed test, for which a F-test for two population variances needs to be used.
Numerator degrees of freedom: "d_1=25-1=24."
Denomirator degrees of freedom: "d_2=22-1=21."
Based on the information provided, the significance level is "\\alpha = 0.05," and the the rejection region for this right-tailed test test is
"R = \\{F: F > 2.054\\}."The F-statistic is computed as follows:
Since from the sample information we get that "F = 2 \\le F_c = 2.054,"
it is then concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population variance "\\sigma_1^2" is greater than the population variance "\\sigma_2^2," at the "\\alpha = 0.05" significance level.
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