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B. S. University of Minnesota (Statistics)
M.S. University of Washington - Seattle (Master's)
I have always enjoyed tutoring, and have worked with students since I was in high school. Throughout graduate school I worked with graduate public health students who were taking their first statistics class ever, and for many their last math class had been decades previously. I chose my current position as a statistical consultant at a medical center in part because it shares many of the rewarding aspects of tutoring in that I often need to explain statistical concepts to clinicians to make sure we are both comfortable with the results.
I believe the key to understanding statistics (and math, really) is to be able to relate it to what you know and understand. Too often we start seeing just numbers on a page, and they loose all meaning. Connecting these problems to what you already understand will not only make it more interesting, but it will greatly improve your skills.
I have a master's in biostatistics from the best program in the country (University of Washington, Seattle), and undergraduate degrees in statistics and economics. I have tutored students in middle and high school, helped prepare for college entrance exams, as well as undergraduate and graduate level statistics courses.
Statistics is a beast of its own! It is a different way of thinking, and a large classroom is not conducive to leading students through this change. I believe this is the reason so many students become frustrated and feel that they will never "get it." I am here to tell you that once we break things down and make sense of the principles, the rest will be a breeze! (The same goes for math, econ, and other quantitative fields, but I feel it is most obvious with stats). I have always enjoyed tutoring, and have worked with students since I was in high school. Throughout graduate school I worked with graduate public health students who were taking their first statistics class ever, and for many their last … Read more
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I am a Research Biostatistican at Weill Cornell Medical College. I also have a MS in Biostatistics from the University of Washington - Seattle (tied for #1 program in the country). My thesis was in developing estimators of cumulative incidence that can account for biases introduced by using machine learning techniques.
I minored in Econometrics during my undergraduate time at the University of Minnesota. My honor's thesis was an econometric study of female labor force participation in the United States in 1950-2010, with particular focus on changes within Minnesota. This thesis was coded using SAS.