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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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What is the rule of thumb …
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Explain why a normal distr…
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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…
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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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