quantitative marketing
Sheet1
| Subject | cans Market 1 | cans Market 2 | ||
| 1 | 2 | 1 | ||
| 2 | 2 | 1 | ||
| 3 | 3 | 1 | ||
| 4 | 2 | 1 | ||
| 5 | 5 | 1 | ||
| 6 | 1 | 1 | ||
| 7 | 2 | 1 | ||
| 8 | 2 | 3 | ||
| 9 | 10 | 10 | ||
| 10 | 1 | 10 | ||
| Consider two markets for a particular product. The subjects were asked | ||||
| how many cans they drink in a day. | ||||
| Given the descriptive statistics for these data. | ||||
| Q 1. Which market woould you choose to introduce the beverage? Why? | ||||
| 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 |
Sheet2
| Subject | purchase likeli | 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; Unlikely = 2; Very unlikely = 1 | |
| 7 | 5 | 2 | ||
| 8 | 4 | 1 | Gender: Male = 1; Female = 2 | |
| 9 | 1 | 1 | ||
| 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 | ||
| Q 2(A )Construct frequencies, relative frequencies, and weighted averages for each gender | ||||
| Question 2 (B) | ||||
| What conclusions can you draw about the relationship between the two variables? | ||||
| Support your conclusion with data analysis |
Sheet3
| 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). Obtain the descriptive statistics for these data, | |
| 8 | 12 | interpret them in the context of the soccer shop. | |
| 9 | 20 | ||
| 10 | 19 | Q 3(b). Create a histogram and Interpret it and support your conclusions | |
| 11 | 17 | using the descriptive statistics. | |
| 12 | 14 | ||
| 13 | 21 | ||
| 14 | 22 | ||
| 15 | 25 | ||
| 16 | 21 | ||
| 17 | 22 | ||
| 18 | 23 | ||
| 19 | 10 | ||
| 20 | 19 | ||
| 21 | 25 | ||
| 22 | 14 | ||
| 23 | 17 | ||
| 24 | 18 | ||
Sheet4
| At almost every university in the U.S.A. and in other countries with similar education system |
| such as Kuwait, the university 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) |
| (a) Discuss what, if any, problems might exist when GPAs for two students are compared? |
| (b) What about comparing GPAs for students from two different uniersities? |
| ( C) What statistic do you suggest to provide additional information. |
Sheet5
| Given the cross tabulation below calculate the relative frequencies | ||||||
| Income (000) | No college | 1-2 year college | 3-4 year | 5-6 years | > 6 years | |
| $20 < | 16 | 33 | 30 | 6 | 4 | 89.00 |
| $20 < $40 | 22 | 28 | 40 | 26 | 5 | 121.00 |
| $40 < $60 | 9 | 12 | 21 | 46 | 9 | 97.00 |
| $60 > | 3 | 5 | 15 | 13 | 6 | 42.00 |
| Total | 50 | 78 | 106 | 91 | 24 | 349 |
| Question 5 | ||||||
| Q 5 (a): Determine the % of those with at least 5 years of college than earn at least $40,000 | ||||||
| Q 5 (b):Compare the proportion of Q(a) to the proportion for those having fewer | ||||||
| than 5 years of college. What conclusion can you draw ? | ||||||
| Q 5 (c): Determine the % of those who make at least $60,000 and who have more | ||||||
| than 4 years of college | ||||||
| Q 5 (d) Draw an overall conclusion from the data and the calculations performed. |