Recent Tutoring Session Reviews
"The student wanted help preparing for his final exam in introductory statistics. We practiced hypothesis testing and went over properties of the z- and t-distributions, and major concepts such as five number summary, the difference between experiments and correlation, and how to assess regression equations."
"Today was my first session with the student, and he is currently not in a course, but he needed a refresher on basic statistics before he starts his course at the end of August. He has taken AP Statistics in high school and has an idea of most of the concepts. I used one of my basic statistics books to go through each chapter with him and give him the basics of what he needs to know. We were able to get through the basics of statistics, frequency tables, types of graphs, box plots, the five-number summary, the normal distribution, and probability concepts. We ended on talking about conditional probability, and we will continue there during our next session next week."
"Today we did a practice exam that had many questions about hypothesis tests and confidence intervals. We also discussed Type I and Type II errors. The student is feeling like he has made a lot of progress but still has work to do to be fully prepared for his final exam. We are focusing on strong test-taking skills, such as doing questions he is confident on first and taking deep breaths when things get confusing or overwhelming."
"Today we discussed calculating z-values based on probability, as well as calculating probability from z-values. We talked about qnorm/qbinorm as r commands for the former, and pnorm/pbinorm as commands for the latter. We also talked about dbinorm command for estimating the probability of a single answer (e.g., Y = 5) and pbinorm for measuring probability up to and including a value (e.g., Y<=8).When reviewing for your exam, remember to draw a visual of the problem when appropriate. Next time we will discuss any lingering questions on the review sheet for Exam 2."
"Today we focused on an introduction to the terms and formulas needed for descriptive statistics. We went over both definitions and some sample problems. The student had a good attitude in the session and seemed to be gaining a deeper understanding of the material."
"Today we focused on the t-distribution, its properties, the conditions needed for inference, and how it relates to the normal distribution. We practiced how to find the degrees of freedom, and how to use those to read the t-table. We worked problems where we computed confidence intervals using the t-distribution. We talked about how to find p-values from the t-table. We talked about how to find critical values from the t-table, and how to compare those values to the test statistic to make conclusions for a hypothesis test. We completed some hypothesis tests using the t-distribution, including setting up hypotheses, calculating the test statistic, and making decisions when alpha is not given. We also compared confidence interval widths between the t-distribution and the standard normal curve. We plan to meet again tomorrow for another session."