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: Step 1: Null and alternative hypothesis H0: H1: Step 2: Significance level a = Step 3: Test statistic:
Step 1:
The following null and alternative hypotheses need to be tested:
Step 2:
This corresponds to a two-tailed test, and a z-test for two means, with known population standard deviations will be used.
Based on the information provided, the significance level is and the critical value for a two-tailed test is
The rejection region for this two-tailed test is
Step 3:
The z-statistic is computed as follows:
Since it is observed that it is then concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population mean is different than at the significance level.
Using the P-value approach: The p-value is and since it is concluded that the null hypothesis is not rejected. Therefore, there is not enough evidence to claim that the population mean is different than at the significance level.
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