Recent Tutoring Session Reviews
"During this session, we reviewed the basic concepts underlying inferential statistics, including the nature of the Null hypothesis, the general hypothesis testing steps, the sampling distribution, the Central Limit Theorem, and the method for interpreting the various statistical tables. We applied these concepts to several practice questions as I reinforced the specifics of conducting hypothesis testing and the interpretation of the results. She will practice the methods on additional homework problems."
"I was able to help the student with his final and answer any questions he had on formulas or how to complete any of his problems. He passed, and he was very happy about this. I believe that he also learned a bit more just by working with me today."
"In our meeting today, the student and I took a look at hypothesis testing. We went over the applications of hypothesis testing, as well as how to do these tests for proportions and means by hand or with software. In addition, she completed the lab assignment that she has for every lesson. I hope to see that the homework for this session comes easy to her for next week."
"In our session today, we covered the concepts of normal distribution curves, the 68-95-99.7 rule, standard deviation, variance, changing the unit of measurement, density curves, and standardizing observations. We went over some questions that she missed on a previous homework assignment covering calculating probabilities/percentiles given the mean, standard deviation, observation, and/or the z-score. We also covered some problems calculating the z-score or observation given the percentile/probability and other values. We will have another session tonight covering more of the homework assignment she was working on."
"In this lesson, we worked on confidence intervals and the basics of descriptive statistics. In particular, we worked with t-distributions and normal distributions and solved problems with this knowledge."
"In this session, the student and I discussed the concepts of mean, standard deviation, percentile, and probability. We also discussed various ways of representing different types of data. We looked at box and whisker plots to explain and understand IQR as well as to show the effect an outlier can have on a data set. We used several examples of the normal model to show what information we can get from the z-score and about the data as a whole. She maintained a very positive attitude throughout and was engaged as we worked through the homework examples on the online platform. We are meeting again on Wednesday to discuss any concepts that need clearing up before the Thursday midterm."