Recent Tutoring Session Reviews
"We worked on conducting t-tests and ANOVA models. The student is working on her capstone project and we worked through the statistical analysis necessary to support her thesis. We modeled the data in StatCrunch. The student is now in a position to finalize her project and submit her paper."
"Concepts covered: conditional probability, combinations, and the additive rule. The student also completed his take-home practice quiz."
"The student is on his last module before the class ends. They're working on simple linear regression, multiple regression, and Spearman's rank correlation. We went over his homework, and he worked through all of the problems. We then went through all the parts of output from Stata, and he practiced writing up the results. He's very happy because we've been working together for 3 weeks, and in that time, his last three homework grades have been 100%, 100%, and 98%. We will work together again one more time to help him prepare for his final exam."
"The student and I covered definitions for standard deviation, variance, z-score, standardized values, and other measures. We also covered the empirical rule, the application of the z-score formula, and some distinctions between samples and populations. In addition to going over definitions, formulas, and symbols, I also helped him understand how to use his calculator to find many of the descriptive values. We went over a few homework problems but focused mainly on clarification and simplification of concepts."
"We went over 2 sample tests. We broke down each formula, and I showed the student easy ways to memorize them and identify when to use them. We practiced using them on some examples. We then focused on how to use the questions to identify how to set up the alternative hypothesis. We ended the session by reviewing her homework assignment."
"We went over correlation and regression concepts, including the correlation coefficient as a value to indicate strength of association, contextual meaning of slope and y-intercept of a linear regression model, scatter plots, and residuals. I also demonstrated the use of the TI-83 graphing calculator to graph a scatterplot, find r, compute the regression equation, find predicted values for given x-values, and find residuals. I then went over examples to show how to interpret the slope value of a residual model."