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Ms. Campbell worked twelve years in the Chemical Process Industry, during which time she participated in the design, construction, and start-up of projects in polystyrenics. However, it was her work in the implementation of statistical quality control programs that lead her to focus on data collection and analysis.
Ms. Campbell teaches mathematics and statistics. Her students write that “she explains things clearly and does not make anyone feel stupid for asking questions.” She is a CRLA-certified tutor who takes great pride in helping students come to “own” the mathematical knowledge necessary to succeed in their chosen fields.
She has assisted graduate students with their data analysis in fields as diverse as engineering, education, and public health.
She can assist clients with their initial exploratory data analysis, usually with a graphical approach to viewing the data. She makes sure each client understands the basics, such as how to properly state the null and alternative hypotheses, and how to test for equivalence using procedures such as independent sample or paired sample t-tests. She routinely helps clients in the selection of the proper regression methods to employ, helping them to understand generalized linear models, logistic regression, and logit and loglinear models. Her ultimate goal is always that the client gains a full understanding of what the data has to say. In this manner, she has worked with clients whose data was highly qualitative, such as survey data, and she has assisted students with highly quantitative data involving modeling and forecasting. She is highly proficient with SAS, SPSS, JMP, and R statistical software and programming languages.
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"Very polite, easygoing, and professionally competent consultant." Graduate student, Brazil (contact information on request)
"Guess what???!!!! I got an A in Biostatistics!!! HAHA! Can you believe it??!!! AN A!!! Course, I didn't learn anything in that class except for what YOU taught me...but I got an A none-the-less! I wanted you to know!" Sharon (On file with network coordinator)