statistics project of score in college Research Paper

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The Department of Statistics and Biostatistics gives out a standardized test consisting of 20 questions in its Introductory Statistics courses (typically STAT 1000 or 2010). In any given quarter, there are numerous different instructors for these courses. In this data set, we focus on 5 instructors- 2 of whom are lecturers and 3 of whom are tenured or tenure-track- selected from the entire pool of instructors for introductory courses. We have 3 years in the data set: 2006, 2007, 2009. We also use the Fall, Winter, and Spring Quarters for these years. In general, the Summer Quarters are distinctly different, with numerous non-CSUEB students and taught almost exclusively by lecturers; hence, Summers are excluded. (Note that some of the values of explanatory variables were changed so that there would not be relevant cells that were empty.)

For this project, you are to analyze the data set and identify design characteristics (for example, is this a completely randomized design? No, but what kind of design is it?). We are interested in how the scores differ, if at all, amongst the four factors.

Start with a discussion of the design and the variables (fixed or random; nesting, if any). Then describe the model you begin with and how you get to your final model. Be sure to identify insignificant terms that were discarded (if any). In the significant terms of the model, how do the levels compare? (For example, the Department switched textbooks for STAT 1000 in Fall, 2009- Did the scores for that quarter differ? Do professors’ classes do better than lecturers’ classes?) As this is a report, you don’t have to specify the null and alternative hypotheses at all, but you should include the p-values whenever you refer to a specific conclusion (such as the significance or lack thereof of a term in a model). If you append graphs or computer output, label it so that you might refer to the label in the body of the report.

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