Learn what sampling is and why it is so powerful. You’ll also learn about the problems caused by convenience sampling and the differences between true randomness and pseudo-randomness.

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2

Sampling Methods

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It’s time to get hands-on and perform the four random sampling methods in Python: simple, systematic, stratified, and cluster.

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3

Sampling Distributions

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Let’s test your sampling. In this chapter, you’ll discover how to quantify the accuracy of sample statistics using relative errors, and measure variation in your estimates by generating sampling distributions.

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4

Bootstrap Distributions

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You’ll get to grips with resampling to perform bootstrapping and estimate variation in an unknown population. You’ll learn the difference between sampling distributions and bootstrap distributions using resampling.

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