In this chapter you'll use bootstrapping techniques to estimate a single parameter from a numerical distribution.

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2

Introducing the t-distribution

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In this chapter you'll use Central Limit Theorem based techniques to estimate a single parameter from a numerical distribution. You will do this using the t-distribution.

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3

Inference for difference in two parameters

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In this chapter you'll extend what you have learned so far to use both simulation and CLT based techniques for inference on the difference between two parameters from two independent numerical distributions.

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4

Comparing many means

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In this chapter you will use ANOVA (analysis of variance) to test for a difference in means across many groups.

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