Almost done with lecture 10 notes

lectures/lecture10/lecturenotes.tex

@@ -33,6 +33,7 @@
     \2 \textit{Why do we consider our measurements random variables?}
     \2 CDF vs. PDF vs. PMF
     \2 \textit{How do we calculate probability a value will be within a range?}
+        \3 Integral (CDF) at point $b$, minus integral at point $a$
 
 \1 Important probability concept: Expectation 
     \2 ``The value you can expect to get''
@@ -44,11 +45,12 @@
     \2 $E[XY]$ is expected value of $X * Y$
     \2 Linearity of expectation
 
-
 \1 Mean, median, mode
     \2 \textit{When to use each}
     \2 Categorical: mode, total: mean, skewed: median, else: mean
     \2 Additive (arithmetic), multiplicative (geometric), harmonic 
+    \2 Mistakes with means: large range, skewness, multiplying when not
+        independent, ratio with different bases
 
 \1 Covariance
     \2 Measure whether two random variables vary together