Award-Winning Statistics Tutors serving Chesterfield

The student has a statistics midterm on Monday, and wanted to get completely caught up on all of the lectures, as well as go over the practice midterm beforehand. The lectures we had left to cover were on probability and we mostly focused on the counting rules. We also went over how we can use two way tables to find probabilities, and related them to the values we already knew. We then looked at the midterm, and he felt pretty good about most of it, but wanted to go over the probability questions. We talked about how we can use tree diagrams to find probabilities as long as there aren't too many branches.

This session we continued review for the student's final exam focusing on probability and conditional probability as well as normal distributions.

Today we covered all the different kinds of statistical tests that would be covered on the student's exam and when to use them. Simple linear regression, Pearson's correlation, ANOVA, z-tests, and t-tests.

Today we reviewed different types of distributions and conditional probabilities. The first half of the session was used to answer her uncertainties about these concepts. During the second half, we started working on sample finals so that she can get some practices with all the materials. We will continue to do practice finals and review in our next session.

We reviewed t-tests and regressions, especially the differences between the different types of confidence intervals (prediction interval, interval for mean response, and CI for the slope of the regression line).

We covered chapters 8, 9 and 10 which are the basis for the student's final tomorrow. She had a study guide for these chapters and we completed examples of the problems listed in it. One chapter covered Z scores, p values for normal distributions, standard deviations and confidence intervals of sample means and hypothesis testing. Another chapter covered the binomial distribution/ probability where we completed an example problem on guessing answers to a multiple choice quiz. The last chapter covered samples and populations, statistics and parameters and biased and unbiased samples.