In: Statistics and Probability
Show your work please
A random sample of 20 aluminum cola cans is selected and the axial loads are measured and the variance is 345.96 lb. Use a 0.05 significance level to test the claim that cans have axial loads with the smaller variance than 772.84 lb.
final answers
Hypothesis | ||||||
Test Statistic | ||||||
p-value | ||||||
Decision | ||||||
Conclusion |
Here, we have to use Chi square test for the population variance or standard deviation.
The null and alternative hypotheses for this test are given as below:
Null hypothesis: H0: The cans have axial loads with the variance than greater than or equal to 772.84 lb.
Alternative hypothesis: Ha: The cans have axial loads with the smaller variance than 772.84 lb.
H0: σ2 ≥ 772.84 versus Ha: σ2 < 772.84
This is a lower tailed test.
The test statistic formula is given as below:
Chi-square = (n – 1)*S^2/ σ2
From given data, we have
n = 20
S^2 = 345.96
σ2 = 772.84
Chi-square =(20 - 1)*345.96/772.84 = 8.5053
Chi-square = 8.5053
We are given
Level of significance = α = 0.05
df = n – 1
df = 19
Critical value = 10.1170
(by using Chi square table or excel)
P-value = 0.0192
(by using Chi square table or excel)
P-value < α = 0.05
So, we reject the null hypothesis
There is sufficient evidence to conclude that the cans have axial loads with the smaller variance than 772.84 lb.