Combining random variables (K-A)

• Variance of sum and difference of random variables (K-A)
• Intuition for why independence matters for variance of sum (K-A)
• Deriving the variance of the difference of random variables (K-A)
• Example: Analyzing distribution of sum of two normally distributed random variables (K-A)
• Example: Analyzing the difference in distributions (K-A)