. XX company assembles electrical components for the last 10 days the company had averaged 9 rejected with standard deviation of 2 rejects.DD company averaged 8.5 rejected with standard deviation of 1.5 rejects. At the 0.05 level of significance can we conclude that there is more variation in the number of rejects per day for the XX company.
"H_0:\\sigma_1=\\sigma_2" , there is no more variation in the number of rejects per day for the XX company
"H_a:\\sigma_1>\\sigma_2" , there is more variation in the number of rejects per day for the XX company
test statistic:
"F=\\frac{s_1^2}{s_2^2}=\\frac{2^2}{1.5^2}=1.7778"
"df=n-1=10-1=9"
critical value:
"F_{(9,9)}=3.1789"
Since "F<F_{(9,9)}" we accept null hypothesis. There is no more variation in the number of rejects per day for the XX company.
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