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Please Select 10 of the following 12 questions to answer. 

1. Explain what concepts and what variables are. Then provide an example of what a concept and variable is by providing the conceptual and operation definitions for two variables in the Marathon Dataset in SPSS. Be sure to include category names if applicable.

2. What is theory? What is a conceptual framework and when would it be applicable to use on or both of these?

3. Provide a research question from the Marathon Questionnaire and Data set that you can answer using the data provided. What makes a good research question and when would you use or not use hypotheses?

4. What is the different between an independent and dependent variable? Referring to Question #3, what would be the dependent and independent variables that you would use from the secondary data set provided (Marathon) that would answer you the research question?

5. What is inductive and deductive reasoning? Which is usually used with quantitative research?

6. What are the principles of ethical research and why are they important for the participants, researcher and affiliated university/organization to follow these? What are the ethical principles that NDSU follows for research?

7. What is bad data?  How does it arise and how do you eliminate it?  How could your research be effected by bad data and what are the consequences for you as the researcher and/or participant? 

8. What are the uses of social research and what are the knowledge of authorities? Which do you trust the most for quantitative research and why? It might be helpful to provide an example through the scientific method.

9. What are the different types of research?  Provide an example of 2 types using either primary or secondary data and justify which and why the type is appropriate for that kind of research. 

10. What are the different levels of measurement and make a table of the categories that provide and explain the principles of each level.

11. Provide an example of a variable for each level of measurement from the Marathon Data or the example questions you wrote and explain why it is that level of measurement. You might want to refer to your NOIR table.

12. For each variable selected in question 11, provide a different type of graph for the distribution (frequency) of that variable.  A different type of graph must be used for each of the 4 levels of measurement (i.e., bar, pie, line, error, box, histograms or scatter plots).  Be sure to include a title of each graph and label both the x and y axis when applicable. Also be sure to include the mean or median if applicable.  Also, label your key and be sure to use color for the different in categories if applicable.

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