Reference no: EM132259830
The overall purpose of this project is to evaluate a hypothesis, specifically the relationship between two variables. You can choose a topic that can be supported by primary or secondary data. If you choose a topic to be supported by primary data, you need to create a questionnaire and have at least 25 participants. If you choose a topic to be supported by secondary data, you will need to choose an industry for which you can find 25 years of data for sales and another variable.
An issue is question that is stated in the form of a question about your topic. Usually, it describes the relationship between two variables about your topic. Assuming that you have identified costs of tuition for first year students, something that is of concern to you. You believe that the costs of tuition are too high in relationship to your annual employment income, and hence your GPA.
An issue can be formulated(for example) as follows:
Do the relative costs of tuition affect First Year College Students Grade Point Average?
An evaluation of the costs of text on First Year Students GPA
If you choose an industry, the industry annual sales will be designated as the dependent variable. Next, we need to identify theoretically all those factors that may explain the variations of the dependent variable. Some explanations are:
Average annual income that can be measured by US GDP. In theory, it is argued that as the average annual income increases, consumers will be inclined to make more purchases. So, the relationship between pet sales and average income is expected to be positive. Other possible factors are global economics, consumer demographics (age, religion, etc).
After we have defined the theoretical relationship between the dependent and independent variable, we proceed to collect data on the variables for the purpose of testing. Does the data provide evidence of the theoretical relationship between Sales (Y) and income( X). Details on the expected relationship will be covered in chapter 13 in the course.