Question

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 17 supermarkets from Region 1 had mean sales of 86.2 with a standard deviation of 8. A random sample of 13 supermarkets from Region 2 had a mean sales of 82.2 with a standard deviation of 7.3. 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=0.1 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.

Answer #1

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 17 supermarkets from Region 1 had mean
sales of 81.9 with a standard deviation of 7.3. A random sample of
13 supermarkets from Region 2 had a mean sales...

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 1717 supermarkets from Region 1 had
mean sales of 86.286.2 with a standard deviation of 88. A random
sample of 1313 supermarkets from Region 2 had a mean sales...

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...

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 1212 supermarkets from Region 1 had
mean sales of 79.279.2 with a standard deviation of 7.27.2. A
random sample of 1717 supermarkets from Region 2 had a mean sales...

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 79.2 with a standard deviation of 7.2. A random sample of
17 supermarkets from Region 2 had a mean sales...

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 18 18 supermarkets from Region 1 had
mean sales of 87.1 87.1 with a standard deviation of 6.5 6.5 . A
random sample of 12 12 supermarkets from Region...

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...

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 16 supermarkets from Region 1 had mean
sales of 82.5 with a standard deviation of 6.4. A random sample of
12 supermarkets from Region 2 had a mean sales...

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 12 supermarkets from Region 1 had
mean sales of 81.4 81.4 with a standard deviation of 8.4 8.4 . A
random sample of 17 17 supermarkets from Region...

Two teaching methods and their effects on science test scores
are being reviewed. A random sample of 8 students, taught in
traditional lab sessions, had a mean test score of 74.3 with a
standard deviation of 6.4. A random sample of 10 students, taught
using interactive simulation software, had a mean test score of
80.1 with a standard deviation of 5.7. Do these results support the
claim that the mean science test score is lower for students taught
in traditional...

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