Search This Blog

Un abstract

When you have a problem to solve there would be a path, a path of required knowledge that will lead your way to the answer, but often the concepts in front you are too overwhelming so the road ahead becomes foggy. My aim here is to deliver you a clearly explained concept to help you understand it in a timely manner. It would be my greatest honor if this channel can light up the path a little bit!

Standard deviation | Variance | Statistics and Probability EP9

Get link
Facebook
X
Pinterest
Email
Other Apps

November 16, 2020

Standard deviation | Variance | Statistics and Probability EP9

Get link
Facebook
X
Pinterest
Email
Other Apps

Comments

Bayesian probability | Iteration | Statistics and Probability EP21

March 31, 2021

Bayesian probability | Iteration | Statistics and Probability EP21

Law of large numbers

October 31, 2020

Frequentist makes it possible to forecast the probability of a future event based on the current frequency. Frequentist works because of the law of large numbers. There are two different versions of the law of large numbers: the weak law of large numbers and the strong law of large numbers. In 1713, Swiss mathematician Jakob Bernoulli after 20 years of hard work proved that (if you have a sample of independent and identically distributed random variables, as the sample size grows larger, the sample mean will tend toward the population mean.) the sample average converges in probability towards the expected value This known as the Weak Law of Large Numbers or Bernoulli's theorem. It tells us as more trails performed the frequency will more likely to become closer to the true probability. Be aware that it is only more likely not a 100% guarantee. Bernoulli’s theorem gives us confidence that a random event has a great chance to have a certain probability. In 1930 Andrey Kolmogorov pro...