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15. Test the hypothesis that at the at 0.05 level of significance for the given sample data Assume that the populations are n

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Answer #1

Let s1 and s2 denote the sample standard deviations and n1 and n2 denote the sample sizes of population1 and population 2 respectively.

s1 = 2.5 s2 = 4.6 n1 = n2 = 11

a.

Null hypothesis: H_0:\sigma_1=\sigma_2

Alternative hypothesis: H_1:\sigma_1\neq \sigma_2

b.

Test statistic: F=\frac{s_1^2}{s_2^2}=\frac{2.5^2}{4.6^2}=0.30

# we always divide larger variance by smaller variance.

As the populations are normally distributed under H0,test statistic follows F distribution with (n1-1, n2-1) = (10,10) degrees of freedom.

c.

P-value = P[ f10,10 > 0.30 ] = 0.96455 = 0.965

You can use following R command to find the p-value

#1-pf(0.3,10,10)

d.

We reject H0 at 0.05 level of significance if p-value < 0.05

Here, P-value > 0.05

Hence, we do not reject H0.

We do not have enough evidence to reject H0. That is there is insufficient evidence to prove that \sigma_1\neq \sigma_2

I hope you find this detailed solution helpful. If you have any doubt then feel free to ask in the comment section. Please do not forget to vote the answer.

Thank you in advance!!!

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