Main Profile

At A Glance

Sampling distribution

In this tutorial, we experience one of the most exciting ideas in statistics--the central limit theorem. Without it, it would be a lot harder to make any inferences about population parameters given sample statistics. It tells us that, regardless of what the population distribution looks like, the distribution of the sample means (you'll learn what that is) can be normal.Good idea to understand a bit about normal distributions before diving into this tutorial.

Topics: General Mathematics, Probability, Statistics
Cost: Free

Contact

Sampling distribution's Full Profile

Overview

Description

In this tutorial, we experience one of the most exciting ideas in statistics--the central limit theorem. Without it, it would be a lot harder to make any inferences about population parameters given sample statistics. It tells us that, regardless of what the population distribution looks like, the distribution of the sample means (you'll learn what that is) can be normal.Good idea to understand a bit about normal distributions before diving into this tutorial.

Details

  • Days of the Week: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
  • Level of Difficulty: Beginner
  • Size: One-on-One
  • Instructor: Sal Khan
  • Cost: Free
  • Institution: Khan Academy
  • Topics: General Mathematics, Probability, Statistics

Provider Overview

About Khan Academy: Khan Academy is an organization on a mission. Khan Academy is a not-for-profit with the goal of changing education for the better by providing a free world-class education for anyone anywhere.

Latest Tweet

Khan Academy Offers Courses In: Mathematics

Questions about Sampling distribution

Want more info about Sampling distribution? Get free advice from education experts and Noodle community members.

  • Answer