Recent Tutoring Session Reviews
"The student and I spent this session going over her final exam as well as her latest (and last) homework assignment. Some of the issues we discussed pertained to using the chi-square goodness of fit test as well as when to use a one tailed or two tailed test. Lastly, we discussed how to interpret the SE in terms of variation. She is extremely motivated to understand statistics, for both her professional and academic career. I'm extremely confident that she'll do well on her final exam and earn an excellent grade in this course."
"We worked our way through the next chapter which was all about hypothesis testing. There were no specific problems but instead general problems that asked about the theory of the tests. We established what the null and alternative hypotheses were. We computed several z-scores and probabilities."
"We covered more repetition of grouped and ungrouped variance, which the student has been very comfortable with! He showed good initiative in bringing great example problems to the session, and we had plenty of good material to work on today. He's taking his time more and thinking about/comprehending problems. I've enjoyed frequent sessions with him- we're both more comfortable with each other, and it allows for a very effective and fun teaching flow."
"We reviewed a homework assignment that asked for an interpretation of a t test between a sample and a population then conducted multiple independent sample t tests and interpreted the results. I created a sheet of formulas for the student to use as a reference/study guide and showed her links to online calculators for critical T values, and obtaining P values from T values at given df values."
"The student is taking AP statistics in high school. She wanted help understanding how to interpret power in relation to alpha and risk of Type I error, how to interpret confidence intervals, and how to determine whether or not to reject a null hypothesis. We also discussed test statistic selection (z or t) and assumptions for t-tests, distributions, and sample size."
"We focused with Poisson and normal distribution problems. We also covered many different notations and parameter syntax, as well as some problem-solving tips when dealing with the types of problems we went over."