Using the Central Limit Theorem

preview_player
Показать описание
MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
Instructor: Jagdish Ramakrishnan

License: Creative Commons BY-NC-SA
  1. MIT OpenCourseWare
  2. central limit theorem
  3. expectation of sum
  4. variance of sum
  5. standard normal
Рекомендации по теме
The Central Limit 0:07:35

The Central Limit Theorem, Clearly Explained!!!

But what is 0:31:15

But what is the Central Limit Theorem?

Central limit theorem 0:03:42

Central limit theorem

Real-world application of 0:07:27

Real-world application of the Central Limit Theorem (CLT)

Central Limit Theorem 1:01:09

Central Limit Theorem - Sampling Distribution of Sample Means - Stats & Probability

Applying the central 0:09:10

Applying the central limit theorem to find probability example 1

Using the Central 0:11:25

Using the Central Limit Theorem

The Central Limit 0:06:39

The Central Limit Theorem - understanding what it is and why it works

What is Central 0:09:29

What is Central Limit Theorem in Statistics ? | Inferential statistics | Explained with Example

02 - What 0:32:11

02 - What is the Central Limit Theorem in Statistics? - Part 1

L19.2 The Central 0:06:58

L19.2 The Central Limit Theorem

Introduction to the 0:13:14

Introduction to the Central Limit Theorem

The central limit 0:00:57

The central limit theorem #stats #statistics #maths #datascience #dataanlytics

Central Limit Theorem 0:08:31

Central Limit Theorem - Explanation with Excel Download

STATISTICS- What is 0:04:44

STATISTICS- What is Central Limit Theorem?

Confidence Intervals and 0:05:40

Confidence Intervals and the Central Limit Theorem

Proof: Central Limit 0:35:14

Proof: Central Limit Proof

What is the 0:07:07

What is the Central Limit Theorem?

Understand The Normal 0:14:40

Understand The Normal Distribution and Central Limit Theorem

Demonstrating the Central 0:00:42

Demonstrating the Central Limit Theorem #stats

Understanding the Central 0:08:54

Understanding the Central Limit Theorem using SPSS and Excel

The central limit 0:09:19

The central limit theorem | Explained with a simple example

BCS301 MODULE 4 0:03:27

BCS301 MODULE 4 | Central Limit Theorem

What is Central 0:00:15

What is Central Limit Theorem?

Комментарии
Автор

Thanks to all the videos :)) I got a question on (c) ; i think P(N>=220) = P(S219<=1000) is kinda approximation. Since the problem set the model of X as Normal(5, 3), there’s a non-zero probability of X being negative. Thus following situation can happen: S218 = 1000 —> S219 = 999. And actually approximate probability of X being negative is 0.2, not that small to ignore.

박준현-es
Автор

Smooth walk-through. Regarding answer to (b), I think it's 1642, not 1632.

bole