• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

Statistics report

Extracts from this document...


Vietnam National University, Hanoi School of Business 144 Xuan Thuy, Cau Giay District, Hanoi, Vietnam, Tel. 84-4-7680456 Fax: 84-4-7680455 www.hsb.edu.vn Mark MANAGERIAL REPORT To: Pelican Management From: Nguyen Huu Hung (Mr.) ReMBA#7 Date: 10th December 2008 Subject: The promotional Campaign Results Dear Sir or Madam, This is my full report about coupon promotion results. I used data analysis to express the result on the amount of credit card sales during the coupon promotion period for the month of November 2008. I have prepared some descriptive statistics that will help you see distinct relationships between variables. More specifically, i am trying to determine the relationship that does or does not exist between age and type of customers, net sales of each customer, number of customers that participated in the promotion, method of payment, marital status and gender. These statistics will help you further understand the company's customer base and target audience. I have included suggestions regarding the company's next coupon promotion period that will help you to better address your main audience. 1. Percent frequency distribution for key variables FREQUENCY DISTRIBUTION Age of Customers Range of Customer Age Count Freq.(%) ...read more.


2.458256 11.0451312 Correlation between Age and Net Sales: Age Net Sales Age 1 Net Sales -0.0106359 1 Correlation between Item sold and Net Sales: Item sold Net Sales Item sold 1 Net Sales 0.755059391 1 Noted Observations: * First of all, the promotion customers had a mean of $84.29 and the regular customers had a mean of $61.99. There is a difference of $22.30 between the average Net Sales of the two types of customers. The promotion customers had a discount coupon and this clearly had some sort of encouragement towards spending more money at Pelican Stores. The promotion coupons were a great benefit to the company when we take into consideration that there were many more promotion customers than regular and the promotion customers spent much more on average than the regular customers. * The correlation coefficient between Age and Net Sales is -0.0106359. This clearly shows that there is neither a positive or negative correlation between the two variables. Therefore, all ages of audience should be targeted; there is no one particular audience regarding age that spent more money than the other. ...read more.


4. Covariance and correlation matrix Work Pay Promotion Work 1 Pay 0.2594039 1 Promotion -0.149472 -0.214949 1 Noted Observations: * The correlation coefficient between Promotion and Pay is -0.214949. This clearly shows that there is neither a positive or negative correlation between the two variables. Therefore, both Promotion and Pay should be targeted; there is not adequated to state that spent more on Promotion can have a better results than Pay, or reversely. It seems that Hospitals should spend on both Promotion and Pay in the same time. * The correlation coefficient between Pay and Work is 0.2594039. This indicates a positive correlation between Salary (Pay) and Work; it also shows that the more Salary that were paid, the more Work Contribution of nurses. Perhaps it would be beneficial to create an appeal towards increasing salary; for example: 30% increase in salary, etc. * The correlation coefficient between Promotion and Work is -0.149472. This indicates a negative correlation between Promotion and Work; it also shows that the more Promotion that were paid, the less Work Contribution of nurses. Perhaps it would be beneficial to create a just sufficient Promotion for nurses, not too high. ?? ?? ?? ?? Assignment No.1 - Case No.1&2 Page 1 of 10 ...read more.

The above preview is unformatted text

This student written piece of work is one of many that can be found in our University Degree Applied Economics section.

Found what you're looking for?

  • Start learning 29% faster today
  • 150,000+ documents available
  • Just £6.99 a month

Not the one? Search for your essay title...
  • Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

See related essaysSee related essays

Related University Degree Applied Economics essays

  1. Marked by a teacher

    Introductory econometrics assignment. The reasons for creating these two relative price variables is to ...

    4 star(s)

    Thus we can reject the Null hypothesis, and this indicates that the relationship between RPRICE3 and log (SAL1) is statistically significant or not zero. As the result from part (d), there is a negative relationship between RPRICE3 and log (SAL1).

  2. Econometrics Case Study. The main objective of this project is to apply the econometrics ...

    Ho: b1=0 H1: b1=0 if the probability of the parameter is 0.0035 then we reject the null hypothesis because it is lower than the significant level (?=0.05).which we conclude that b1=0 and it is statistically significant with respect to dependent variable .

  1. An analysis of British Airways environment

    Political, Ecological, Sociocultural, Technological and Competition categories into which external influences on the organisation can be put down. (Sources for LE PEST C analysis, various articles, website www.airwise.com) British Airways need to look at LE PEST C factors, such as: Legal British Airways has a number of legal issues and requirement which affects the way the business is running.

  2. Case study Starbucks

    Starbucks has started a newreal trend and many people enjoy drinking a Starbucks coffee. However, it is not just coffee but rather an experience Starbucks is sellings to consumers6. Starbucks operates in more than 5,500 stores worldwide. This presence provides a wide and strong customer base.

  1. Statistics report

    274 -11 12 264 266 -2 13 284 262 22 14 263 271 -8 15 260 260 0 16 283 281 2 17 255 250 5 18 272 263 9 19 266 278 -12 20 268 264 4 21 270 272 -2 22 287 259 28 23 289 264 25

  2. Go Ahead Group case study in Business Enviroment-BTEC HND

    billion Crossrail project will bring an estimated 1.5 millions more people to within 60 minutes of London's business areas and expect it can carry about 200 million passengers by year 2017. It will create 30.000 new jobs and an amount of indirect jobs also can get benefits from it (DFT, July 2008 ).

  1. Transport Economics

    such as willingness to pay and opportunity cost, * The discount rate used represents the weighted average cost of debt and equity capital, rather than the estimated social opportunity cost of capital, and * The discount rate and the cash flows to which it is applied are usually specified on

  2. research method learning journal

    For me this is evident in 'Appendix 3' where my orientation scores towards CE and Abstract Conceptualisation (AC) were reasonably high. This suggests I do not dismiss the more thinking, logical approaches completely and that I am prepared to adopt other learning styles, which is evident in my skill development evaluation futher on in the journal.

  • Over 160,000 pieces
    of student written work
  • Annotated by
    experienced teachers
  • Ideas and feedback to
    improve your own work