Recent Tutoring Session Reviews
"This session, we continued reviewing for the final exam by working on a practice test and creating a guide sheet for the exam. We covered regression, probability, and hypothesis testing, and a few other minor topics. The student has much more confidence going into the final exam and is far less nervous. The student seemed to struggle most with understanding outputs of calculator functions. Overall, the student seemed to have confidence and comprehension. The student was a pleasure to work with. This session was a good final culmination and showed me how far the student had come."
"Today the student and I reviewed for her Statistics exam on Chapters 11, 12, and 13, which is mostly vocabulary. We reviewed sampling design, including random, stratified random, cluster, and systematic designs. We discussed the differences between the population, sample, sampling frame, variables, factors, and levels. We also reviewed the differences between observational and experimental studies."
"Today we covered chapter 11. This included tests for independence and homogeneity. We went over the student's notes and worked on a few chapter problems. Her teacher explained how to solve for the chi-square test statistics and p-values by using a TI 83/84 calculator. This will save her a lot of time during her exam. She did a good job on interpreting her results after finding the p-value/ critical value. She has an exam tomorrow, and I am confident that she will do very well."
"Today we reviewed old homework as the student studied for her final. I helped her make a picture to help her with conclusions in hypothesis tests. The picture shows that test statistics get compared to critical values, P-values get compared to alpha-values, and test statistics and P-values come from the data, while critical values and alpha-values come from the hypothesis. Next time, we will work on a practice exam."
"Today we worked on an end-of-semester project. Using inferential statistics, the student will collect both bivariate and continuous data for which he will have previously predicted a characteristic (null hypothesis). Using the collected data, he will determine a confidence interval for the collected and either accept or reject his null hypothesis."
"Today we worked through part of another practice exam. Concepts included probability, Central Limit Theorem, normal and skew distributions, and confidence intervals. The professor seems to really like questions about conditional probability, so make sure you're prepared for those. Remember, take the proportion of what we're looking for, and divide by the proportion of the condition to get the conditional probability."