Part V Statistical inference
While the previous part of the textbook, Foundations of inference, introduces the core of statistical inference, this part provides details for applying statistical inference in particular settings. Understanding the specific nuances given for different inferential methods can be helpful in communicating the resulting analyses.
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Chapter 16 provides specific details about inference for a single proportion.
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Chapter 17 provides specific details about inference for comparing two proportions.
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Chapter 18 provides specific details about inference for two-way tables.
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Chapter 19 provides specific details about inference for a single mean.
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Chapter 20 provides specific details about inference for comparing two independent means.
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Chapter 21 provides specific details about inference for comparing paired means.
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Chapter 22 provides specific details about inference for comparing many means.
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Chapter 23 includes an application on the Redundant adjectives case study where the topics from this part of the book on means are fully developed.
After working through the details in this part, you should have a good sense for how inferential methods are similar and different when applied to different data structures. Additionally, you should be able to apply both computational methods as well as mathematical techniques to the inference problem at hand.
