Answer:
Yes its true
Calculated value F = 3.264 > 2.32 at 0.1 level of significance
Null hypothesis is rejected
alternative hypothesis is accepted
The population variances are not equal
Step-by-step explanation:
Step(i):-
Given first sample size 'n₁ = 13
Mean of the first sample = 59.5 min
Standard deviation of the first sample (S₁) = 7.4min
Mean of the second sample = 64.3 min
Standard deviation of the second sample( S₂ ) = 13.2min
Null hypothesis :H₀: σ₁² = σ₂²
Alternative Hypothesis : H₁ : σ₁² ≠ σ₂²
Degrees of freedom
ν₁ = n₁ -1 = 13 -1 = 12
ν₂ = n₂ -1 = 10 -1 = 9
Step(ii):-
Null Hypothesis H₀ : σ₁² = σ₂²
Alternative Hypothesis : H₁ : σ₁² ≠ σ₂²
Test statistic
[tex]F = \frac{S_{2} ^{2} }{S^{2} _{1} }[/tex]
Given sample standard deviations are given
we have to determine the Population variances S₁² and S₂²
n₁ s₁² = (n₁-1) S₁²
13 ( 7.4)² = ( 13-1) S₁²
S₁² = 59.32
n₂ s₂² = (n₂-1) S₂²
10 ( 13.2)² = ( 10-1) S₂²
S₂² = 193.6
Step(iii):-
Test statistic
[tex]F = \frac{S_{2} ^{2} }{S^{2} _{1} } = \frac{193.6}{59.3} = 3.264[/tex]
F = 3.264
F( 12 , 9 ) = 2.32
Calculated value F = 3.264 > 2.32 at 0.1 level of significance
Null hypothesis is rejected
alternative hypothesis is accepted
The population variances are not equal