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inference.Rmd

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@@ -39,7 +39,7 @@ By the end of the chapter, readers will be able to do the following:
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* Describe real-world examples of questions that can be answered with statistical inference.
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* Define common population parameters (e.g., mean, proportion, standard deviation) that are often estimated using sampled data, and estimate these from a sample.
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* Define the following statistical sampling terms (population, sample, population parameter, point estimate, sampling distribution).
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* Define the following statistical sampling terms: population, sample, population parameter, point estimate, and sampling distribution.
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* Explain the difference between a population parameter and a sample point estimate.
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* Use R to draw random samples from a finite population.
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* Use R to create a sampling distribution from a finite population.

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