In: Statistics and Probability
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 84 with a standard deviation of 6.6. A random sample of 17 supermarkets from Region 2 had a mean sales of 78.3 with a standard deviation of 8.5. 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=0.02 for the test. Assume that the population variances are not equal and that the two populations are normally distributed.
Step 1 of 4: State the null and alternative hypotheses for the
test
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
1)
H0: mu1 = mu2
Ha: mu1 not = mu2
2)
x1 = 84 , s1 = 6.6 , n1 =12
x2 = 78.3 , s2 = 8.5 , n2 = 17
t = (x1 -x20/sqrt(s1^2/n1+s2^2/n2)
= ( 84 - 78.3)/sqrt(6.6^2/12 + 8.5^2/17)
= 2.031
3)
SE = sqrt[ (s12/n1) + (s22/n2) ]
(s12/n1) 3.6300
(s22/n2) 4.2500
SE 2.8071
DF = (s12/n1 + s22/n2)2 / { [ (s12 / n1)2 / (n1 - 1) ]
+ [ (s22 / n2)2 / (n2 - 1) ] }
[ (s12 / n1)2 / (n1 - 1)
]
1.198
[ (s22 / n2)2 / (n2 - 1) ]
1.13
(s12/n1 + s22/n2)2
62.09
DF = 27
Reject H0 if t < -2.479 ot t > 2.479
4)
Fail to reject H0