The following hypotheses are given. H0 : σ1² ≤ σ2² H1 : σ1² > σ2² A random sample of five observations from the first population resulted in a standard deviation of 12. A random sample of seven observations from the second population showed a standard deviation of 7. At the 0.01 significance level, is there more variation in the first population?

Respuesta :

Answer:

Desision is to not reject the null hypothesis, this means that the variance of the second population is equal or greater than the variance of the first population.

Step-by-step explanation:

Hello!

You have the hypothesis set:

H₀: δ₁² ≤ δ₂²

H₁:  δ₁² > δ₂²

α: 0.01

To study the population variance of two populations you have to work with the F-distribution. The statistic is:

F= (S₁²/S₂²)*(σ₁²/σ₂²) ~ F[tex]_{(n1-1);(n2-1)}[/tex]

This is a one tailed test, the critical value is

[tex]F_{(n1-1); (n2-1); 1-\alpha } = F_{4; 6; 0.99} = 9.15[/tex]

If the statistic value F[tex]_{H0}[/tex] ≥ 9.15, the decision is to reject the null hypothesis.

If the value F[tex]_{H0}[/tex] < 9.15, the decision is to not reject the null hypothesis.

F[tex]_{H0}[/tex]=  (S₁²/S₂²)*(σ₁²/σ₂²) = (12/7) * 1

F[tex]_{H0}[/tex]= 1.714

Desision is to not reject the null hypothesis, this means that the variance of the second population is equal or greater than the variance of the first population.

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