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Sample Recaps

Math - Statistics

**Student:** M

**Tutor:** Anjali

**Date:** 10/13

**Time Tutored:** 5:30-6:30 pm

**Additional Billable Time:** NA

**Previous Quiz/Test Scores:** NA

**Next Scheduled Session:** 10/20

**Material Covered During Session:**

Yesterday M and I worked on some more statistics. We solved problems involving cumulative density functions (CDF) and probability density functions (PDF). I showed M that the easiest way to solve CDF problems was to convert the probabilities into PDF mode, which is done by subtracting one CDF from the other. We then looked at problems involving the expected value E(X), which M had no problem finding. Slightly more complicated was the derivation of the variance Var(X), which is found using the formula Var(X)=E(X^2)-[E(X)^2]. We also looked at how Var(X) and E(X) change when a linear transformation is applied to X. In general M didn't seem to have much trouble understanding the basic concepts, and only really needed help with solving some of the trickier problems.

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