diff --git a/main.org b/main.org
index e41abfe..b8d3f3b 100644
--- a/main.org
+++ b/main.org
@@ -414,9 +414,9 @@ To get probability from a to b (inclusive and exclusive doesn't matter in contin
 \[ E(X + Y) = E(X) + E(Y) \]
 
 + Variance
-If
+Variance is 
 \[ V(X) = E(X^2) - (E(X))^2 \]
-Then
+Properties of variance are
 \[ V(aX) = a^2 V(X) \]
 \[ V(a) = 0 \]
 
@@ -436,7 +436,6 @@ The moment generating function is given by
 
 \[ E(X^n) = (\frac{d^n}{dt^n} M(t))_{t=0} \]
 
-
 * Binomial Distribution
 The use of a binomial distribution is to calculate a known probability repeated n number of times, i.e, doing *n* number of trials.
 A binomial distribution deals with discrete random variables.
@@ -733,3 +732,7 @@ Here \sigma is standard deviation.
 
 + If $\rho = 0$ then $\theta = \frac{\pi}{2}$
 + If $\rho = \pm 1$ then $\theta = 0$
+
+TODO : Maybe an example here
+* Sampling
+Notes not made for this currently, a pdf was provided by teacher as, [[./sampling.pdf][./sampling.pdf]]
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