Respuesta :
Answer:
a) Null Hypothesis : H0 : σ1^2 = σ2^2
Alternative Hypothesis: H1 = σ1^2 not equal to σ2^2
b) The test statistics =4
c) 0.03, 2.76
Explanation:
a) Null Hypothesis : H0 : σ1^2 = σ2^2
Alternative Hypothesis: H1 = σ1^2 not equal to σ2^2
b) The test statistics
F=s1^2/s2^2
=800^2/400^2
=4
c) The critical value of F at 95% confidence.
Given a=0.05
The critical value is F(0.025,df1=n1-1=20, df2=n2-1=15)=0.03 from the F tables
F(0.975,df1=20,df2=15)=2.76 from the F tables
Based on the information given, the null Hypothesis will be H0 : σ1² = σ2² and the alternative hypothesis will be H1 = σ1² not equal to σ2².
The test statistics from the information given will be:
F = s1²/s2²
F = 800² /400²
= 4
The critical value of F at 95% confidence will be a = 0.05. Therefore, the critical value is F(0.025,df1=n1-1=20, df2=n2-1=15) = 0.03
Lastly, F(0.975,df1=20,df2=15) = 2.76 from the F tables.
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