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When is the normal distribution not a good approximation for the binomial distribution?

Intro Stats / AP Statistics

Chapter 6

The Normal Distribution

Section 4

The Normal Approximation to the Binomial Distribution

Probability Topics

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Lectures

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00:43

What is the rule of thumb …

00:32

Explain why a normal distr…

00:51

What conditions must be me…

01:13

When does the chi-square c…

20:23

Normal approximation To us…

00:26

What must be known to find…

01:32

How is the standard normal…

00:57

Why is the standard normal…

00:54

What are the characteristi…

00:20

In order for the sums of a…

What conditions must hold …

03:40

Describe the standard norm…

01:09

00:31

What is a probability dist…

02:48

In order to see what happe…

02:43

In which of the following …

00:38

What distribution must be …

02:00

When should the $t$ distri…

00:24

In a perfectly symmetrical…

00:23

Which distribution do you …

okay. The normal distribution is not a good approximation when P is close to zero or one and n is relatively small as mentioned in a previous problem. Um, N Times P must be greater than or equal to five and n times. Q. Must also be greater than or equal to five. You have to meet both of those conditions.

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