The operations manager of a sales company wants to see whether there is a significant difference in the ages of male and female customers. He selected a sample of 35 samples for each group. The ages are shown in the table below: Male Female x̄1 = 27.3 x̄ 2 = 28 σ1 = 2.4 σ2 = 3.1 n1 = 35 n2 = 35 At a = 0.05, decide if there is enough evidence to reject the claim of no difference in the ages of the two groups. Solution:
Since sample standard deviations are not equal, t-test unequal variances is used. Similarly, since "\\sigma"s are given, (population standard deviations), z is used.
"H0:\\mu_1=\\mu_2"
"Ha:\\mu_1\\ne\\mu_2"
"\\displaystyle{z}=\\frac{(\\overline{x}_1-\\overline{x}_2)-(\\mu_1-\\mu_2)}{\\sqrt{\\frac{(\\sigma_1)^2}{n_1}+\\frac{(\\sigma_2)^2}{n_2}}}"
"\\displaystyle{z}=\\frac{27.3-28}{\\sqrt{\\frac{2.4^2}{35}+\\frac{3.1^2}{35}}}=-1.056"
"CV=Z_{0.025}=\\pm1.96"
Since"|z|<|CV|" we fail to reject the null hypothesis and conclude that there is no significant evidence to reject the claim that there is no difference in ages between males and females.
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