The marketing manager of a firm that produces laundry products decides to test market a new laundry product in each of the firm's two sales regions. He wants to determine whether there will be a difference in mean sales per market per month between the two regions. A random sample of 12 supermarkets from Region 1 had mean sales of 72.4 with a standard deviation of 6.2. A random sample of 16 supermarkets from Region 2 had a mean sales of 78.3 with a standard deviation of 5.3. Does the test marketing reveal a difference in potential mean sales per market in Region 2? Let μ1 be the mean sales per market in Region 1 and μ2 be the mean sales per market in Region 2. Use a significance level of α=0.05 for the test. Assume that the population variances are not equal and that the two populations are normally distributed.
Step 2 of 4: Compute the value of the t test statistic. Round your answer to three decimal places.
Step 3 of 4: Determine the decision rule for rejecting the null hypothesis H0. Round your answer to three decimal places.
Step 4 of 4: State the test's conclusion: Reject Null Hypothesis or Fail to Reject Null Hypothesis
The statistical software output for this problem is :
Two sample T summary hypothesis test:
μ1 : Mean of Population 1
μ2 : Mean of Population 2
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0
(without pooled variances)
Hypothesis test results:
Difference | Sample Diff. | Std. Err. | DF | T-Stat | P-value |
---|---|---|---|---|---|
μ1 - μ2 | -5.9 | 2.2268719 | 21.602919 | -2.6494564 | 0.0148 |
value of the t test statistic = -2.649
Critical value = 2.074
Reject the null hypothesis
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