Recent Tutoring Session Reviews
"The student is making great progress with her course, and we are about halfway through her course module. This session we worked on linear relationships, correlation coefficients, the line of least squares, and how to calculate slope and y-intercept. She did very well with correlation coefficients and she appeared to understand slope after we went over some examples."
"Today I made a lecture covering the basics of multiple regression. We then watched two videos that further explained it. From the videos we were able to discuss concepts like overfitting and multicollinearity. What I wanted him to take from the videos was that we want a high correlation between each x variable and the dependent (y) variable. However, we do not want to see a high relationship between the different x variables because this indicates multicollinearity. And when there is multicollinearity one of the x variables can no longer be used it has to be tossed from the regression analysis."
"The student worked on her assignment covering t-tests (both dependent and independent). She had a bit of difficulty following along with the material at hand, and realized that she needs to keep up with the course readings. She was able to complete the assignment and we developed some aides to help her as she continues to work the problems on her own. She is going to contact after her next class meeting (about 10 days) for our next session"
"We discussed the student's most recent exam and the game plan for getting a better score on the next two exams. We then reviewed her homework. We covered using the critical value approach to rejecting or accepting the null hypothesis, including the use of degrees of freedom when the population standard deviation is unknown. We also covered the p-value approach to testing hypotheses."
"The client has a midterm exam tomorrow on basic statistical concepts. We discussed two-way ANOVAs, including how to identify the IV's and their respective levels, how to identify the DV, how to write up hypotheses for multi-factorial ANOVAs and how to interpret the test results. We discussed the difference between main effects and interactions. We reviewed Tukey's post hoc test for paired-sample t-tests. We reviewed one-way ANOVAs. We calculated z-scores and examined a standardized distribution, so the client could see how the scores and standard deviations are distributed and what a z-score means. We discussed what it means to set alpha at different levels, and exactly what it looks like on a distribution curve in relation to accepting or rejecting a null hypothesis (i.e., when our sample mean falls within a critical region). Last week he was very worried about passing his exam, but we met several times and he's worked really hard and he made huge progress in his understanding."
"We continued our discussion and review of various probability distributions. These include the Poisson distribution, the normal distribution, and the exponential and gamma distributions. We worked through some examples and the student was able to solve the problems correctly."