Recent Tutoring Session Reviews
"I helped the student prepare for his final exam in Intro to Stats. We went over multiple regression and the difference between one-way and two-way ANOVA. We clarified the difference between linear correlation, linear regression, and multiple correlation. I showed him each of the steps involved in all of the above. I grabbed screenshots from a video and made notes, and I sent them to him afterwards so he could reinforce what we covered. We reviewed when/why to use a z-test, as opposed to a one-sample t-test. We reviewed paired-sample t-test and independent sample t-test. He also practiced transforming and evaluating z-scores. After our session, I sent him a document explaining how to interpret an interaction between two main effects in a two-way ANOVA. This is something that is often difficult for students, and I didn't want him to miss these points."
"This was a good session. The student completed 1-8 of test review problem set, did additional review of z-scores, and worked with probabilities within sample set. She needs to complete the rest of the problem set and do lightning fast review of chapters in textbook. We will work on that next time."
"This was the last meeting with the student for this stats course. We continued going over his study sheet for the final exam. We covered quite a few topics, and by the end of this session, he seemed much more confident that he can pass the exam."
"We went over the student's practice test for her final exam. This included ANOVA, chi-squares for independence and goodness-of-fit, and regressions and correlations. She did very well with ANOVA and chi-squares, and I think she should focus on the different degrees of freedom for each test. I also think she should write down the different assumptions and requirements for each test. We will continue to work on regression, correlations, and chi-squares during our next session."
"We went over concepts and practice problems for the student's final exam. In particular, we covered inference testing (z-test, t-test, ANOVA, chi-square), interpreting SPSS output, and using normal distribution tables."
"The student has not started the course yet and just wanted to receive an early exposure to statistics. So, I talked for the most part and I covered the different types of variables, sampling, and the difference between descriptive, observational, interventional, inferential, univariate and multivariate statistics. I finished the session with the mathematical formulation of common statistics, up to the variance."