A Biased (but still good) Estimate for Variance of a Normal Distribution

0:00 - Definition of Bias of an Estimator 3:00 - The MLE for Variance of a Normal Distribution 4:00 - Useful Properties of Variance of Random Variables X and X-bar 7:05 - Finding the Expected Value of sigma-hat squared (MLE for sigma^2) 12:10 - End of Proof and Interpreting Result 12:50 - Connection to Dividing by n-1 When Finding s (sample standard deviation)