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Private InHome and Online Statistics Tutoring in Kennesaw, GA
Receive personally tailored Statistics lessons from exceptional tutors in a oneonone setting. We help you connect with inhome and online tutoring that offers flexible scheduling and your choice of locations.
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Recent Tutoring Session Reviews
"Today we started on regression and correlation, mostly covering correlation. The student is finding this material a little easier and we're moving fairly quickly. We should be able to get the rest of the material done tomorrow and then we can begin reviewing for the final."
"The student was very easy to teach. Her course materials included PowerPoints with complex descriptions and equations. With a little conversation, I was able to show her the learning tools, and she was able to apply complex concepts. Specifically, we focused on probability, beginning with basic probability rules and outcome trees and ending with conditional probability problems using Bayes' Theorem. She seemed much more confident in her abilities after the session and we were able to successfully work through each of her homework problems."
"We went over how to import datasets into SPSS, how to categorize variables, how to compute new variables, and how we might deal with some of the methodological issues in her analyses. We will be working on data cleaning more next session, with potentially being able to set up our potential analyses."
"We covered the basics of regression analysis. Specifically, we talked about linear models, how to interpret coefficients, statistical significance and substantive significance. We then reviewed scatterplots and how to run linear regression in R. The student said had a good feel for the material after our session."
"The student and I worked on a selection of textbook problems he had sent to me, mostly covering the normal distribution . He was largely comfortable with the theory. The biggest gain was clearing up how joint normal distributions act."
"Today was the first session with the student. The lesson consisted of working through the homework problems but we spent the majority of time reviewing the fundamentals of the class. First we reviewed probability problems from a common sense point of view, then we reviewed continuous variables and calculus. She has a great attitude. I assigned her review questions and will keep working with her extensively for the next two weeks."
"The student and I completed the assignment we had started the previous lesson in which we were using the NORMSDIST and NORMSINV functions to work with standard normal probability cdf's.
We next tackled some practice exercises for chapter in which we looked at various scenarios for hypothetical statistical studies. These questions required that we identify the parameters, the statistics, the typical symbols used for each and to calculate the statistic for each, as well as determining the research question to be answered. Because these exercises are setting the stage for what is known as "Hypothesis Testing", in which it is important to identify whether the parameter of interest is (1) equal to, (2) less than, or (3) greater than a specific value, I pointed out to the student to look for key descriptive words such as "different from", "better than", or "worse than" that will suggest how to structure the hypotheses to be tested."
"The student and I reviewed some homework problems while exploring the concepts in chapter 8 and 9 on random variables and normal distributions. It went well and used visual tools to help when we could. Next time we should start making a study "cheat" sheet."
"Today we did an overview of hypotheses testing. We looked at the null and alternative hypotheses, left, right and two tailed tests. The student is eager to learn and wants to do well. We looked at hypotheses testing for two populations proportions. Next time we will look at the mean."
"We covered several problems of Multiple Regression Analysis. He is definitely improving. He is able to do more problems with less direct help."
"We continued our discussion of normal distributions and extended the topic to include tdistributions and confidence intervals. We worked from her homework problems to see if she demonstrated a working understanding of the concepts. She seemed to understand the principles. We will try to have at least one or two additional sessions before her upcoming test next week."
"Today we covered a number of examples from class, covered modeling, classification, and validation. Prior to next session, I will have read through slides she sent me just prior to the start of this session. This will help me better guide her through the concepts using examples given by professor and/or examples better suited to her interests."
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