quantitative marketing

cans Market 1

cans Market 2

2

1

2

1

3

1

2

1

5

1

1

1

2

1

2

3

10

10

1

10

Consider two markets for a particular product. The subjects were asked

how many cans they drink in a day.

Given below the descriptive statistics for these data.

cans Market 1

cans Market 2

Mean

3

Mean

3

Standard Error

0.86

Standard Error

1.18

Median

2

Median

1

Mode

2

Mode

1

Standard Deviation

2.71

Standard Deviation

3.74

Sample Variance

7.33

Sample Variance

14

Kurtosis

5.62

Kurtosis

1.13

Skewness

2.31

Skewness

1.67

Range

9

Range

9

Minimum

1

Minimum

1

Maximum

10

Maximum

10

Sum

30

Sum

30

Count

10

Count

10

Confidence Level(95.0%)

1.94

Confidence Level(95.0%)

2.68

Question 2 (B)

What conclusions can you draw about the relationship between the two variables?

Support your conclusion with data analysis.

Subject

purchase likelihood

Gender

A company is about to introduce a new

1

5

2

product in the market. It asked a number

2

4

2

of people to indicate the likelihood of

3

4

2

purchasing the product.

4

3

1

5

1

1

Code: Likelihood of purchase:

6

5

2

Very likely = 5; Likely= 4; Undecided = 3;

7

5

2

Unlikely = 2; Very unlikely = 1

8

4

1

9

1

1

Gender: Male = 1; Female = 2

10

1

1

11

2

1

12

5

2

13

5

2

14

4

1

15

3

1

16

3

1

17

4

2

18

5

2

19

2

1

20

2

1

Sum of Likelihood of purchase

Column Labels

Row Labels

1

2

Grand Total

1

3

3

2

6

6

3

9

9

4

8

12

20

5

30

30

Grand Total

26

42

68

Subject

Customers

The Soccer Shop was recently opened in Kuwait to provide

1

21

soccer equipment and supplies to players and teams.

2

19

During the first month that it was open, the managers

3

21

kept track of the number of customers who entered the

4

19

shop each day.

5

19

6

20

7

18

Q 3 (a). Given the descriptive statistics for these data,

8

12

interpret them in the context of the soccer shop.

9

20

10

19

11

17

12

14

13

21

Customers

14

22

15

25

Mean

19

16

21

Standard Error

0.75

17

22

Median

19

18

23

Mode

19

19

10

Standard Deviation

3.69

20

19

Sample Variance

13.65

21

25

Kurtosis

0.60

22

14

Skewness

-0.71

23

17

Range

15

24

18

Minimum

10

Maximum

25

Sum

456

Count

24

Confidence Level(95.0%)

1.56

Q 3(b). Interpret the histogram and support your conclusions

using the descriptive statistics.

At almost every university in the U.S.A. and in other countries with similar education system

such as Kuwait, the universities compute student GPA using the following scale

A = 4 points, B = 3 points, C = 2 points, D = 1 point, and F = 0 point.

Question 4

(a) Discuss what, if any, problems might exist when GPAs for two students are compared within the same university?

(b) What about comparing GPAs for students from two different universities?

(C) What statistic do you suggest to provide additional information.