Essay on Quantitative Analysis - Dupree - 4200 Words

Executive Summary Dupree Fuels Company sells heating oil to residential customers. The company wants to guarantee to its customers that they will not run out of heating oil at any time during the winter months. Factors such as the energy efficiency of homes and the temperatures during winter months have been shown to be important factors related to the amount of heating oil that customers use. The company collected data from a sample of 40 residential customers regarding four variables, oil usage, degree days, a measure of the difference in temperature from 68 degrees Fahrenheit over the period since the last tank fill up, the number of people living in the home, and a home index that measures the energy efficiency of the homes. The†¦show more content†¦From the sample of 40 residential customers, data regarding four variables have been collected. The first variable is the number of gallons of heating oil that were used over a given period of time. The second variable is the number of d egree days since oil tanks for the customers were refilled. The number of degree days is the difference between the average daily temperature and 68 degrees Fahrenheit. This variable provides a means to determine the number of days that the average daily temperature was below what is considered to be normal for the use of heating systems in relation to the amount of time in which a tank of heating oil has been used. A third variable included in the data collected from the sample was the number of people living in the home. The reason for collecting data on the number of people living in a customer’s home is that it is assumed that as more people live in a home, the amount of hot water that will be used will increase, which, in turn, will increase the amount of heating oil that is used. Finally, the fourth variable in the data collected from the customers in the sample is a home factor, which is a determination by company staff members of a composite index that takes into account home size, age of the home, exposure to wind, level of insulation, and furnace type. The home factor index ranges from 1 to 5, with 1 indicating a lower level of energyShow MoreRelatedcustomer satisfaction towards Tupperware product4793 Words   |  20 Pagessolution was based on the product-oriented business architecture of Tupperware. Some of the key outlined benefits of the application are as follows: Automating the Sales Forecasting process, making it free from human error Real-time reporting and analysis Excel-based reports for easy exchange of information SOX-compliance for password management Tupperware India Launches ‘She Can, You Can’ On Social Media by  VINAYA NAIDU  on  AUGUST 3, 2012    in  CAMPAIGNS 0 inShare SHAREBAR Direct selling companyRead MoreCause Related Marketing21372 Words   |  86 Pagesever so important feedback on the written language and layout in our dissertation. Pierre Carbonnier and Timus Umans also deserve our gratefulness. Without their feedback and support in SPSS it would have been very difficult for us to complete our analysis. We would also like to thank Zana Malisevskaja for her help with our questionnaire. Without her it would have been very difficult to obtain so many respondents as we did in this research. Valentina Alcheva Yonggang Cai Lingyan Zhao Read MoreStephen P. Robbins Timothy A. Judge (2011) Organizational Behaviour 15th Edition New Jersey: Prentice Hall393164 Words   |  1573 Pagesof systematic study. Identify the major behavioral science disciplines that contribute to OB. Demonstrate why few absolutes apply to OB. Identify the challenges and opportunities managers have in applying OB concepts. Compare the three levels of analysis in this book’s OB model. MyManagementLab Access a host of interactive learning aids to help strengthen your understanding of the chapter concepts at www.mymanagementlab.com cott Nicholson sits alone in his parents’ house in suburban Boston