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Learn

Module overview

Why other shapes matter

The exponential distribution

The lognormal distribution

The Weibull distribution

The Central Limit Theorem

Other continuous shapes

The binomial distribution

A binomial example

Binomial and sigma levels

The Poisson distribution

A Poisson example

The geometric and negative binomial

Using distributions

Sustainability lens

Practise

Distributions practice: question 1 of 10

Distributions practice: question 2 of 10

Distributions practice: question 3 of 10

Distributions practice: question 4 of 10

Distributions practice: question 5 of 10

Distributions practice: question 6 of 10

Distributions practice: question 7 of 10

Distributions practice: question 8 of 10

Distributions practice: question 9 of 10

Distributions practice: question 10 of 10

Review game

Distributions crossword

Chapter 20 of the Green Belt handbook covers distributions other than the normal. You will meet the exponential, lognormal and Weibull shapes for continuous data, then the binomial, Poisson and geometric shapes for counts, and see how the Central Limit Theorem lets you use normal methods on large samples.

Non-Normal Distributions: Binomial, Poisson and Other Shapes

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