What is the Law of Large Numbers?

What is the Law of Large Numbers?



-A theorem that describes the result of performing the same experiment a large number of times
-Forms the basis of frequency-style thinking
-It says that the sample mean, the sample variance and the sample standard deviation converge to what they are trying to estimate
-Example: roll a dice, expected value is 3.5. For a large number of experiments, the average converges to 3.5

Popular posts from this blog

After analyzing the model, your manager has informed that your regression model is suffering from multicollinearity. How would you check if he's true? Without losing any information, can you still build a better model?

Is rotation necessary in PCA? If yes, Why? What will happen if you don't rotate the components?

What does Latency mean?