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Statistical Analysis with R Essentials For Dummies
book

Statistical Analysis with R Essentials For Dummies

by Joseph Schmuller
April 2024
Beginner content levelBeginner
192 pages
3h 18m
English
For Dummies
Content preview from Statistical Analysis with R Essentials For Dummies

Chapter 8

The Confidence Game: Estimation

IN THIS CHAPTER

Bullet Introducing sampling distributions

Bullet Understanding standard error

Bullet Attaching confidence limits to estimates

“Population” and “sample” are pretty easy concepts to understand. A population is a huge collection of individuals, and a sample is a group of individuals you draw from a population. Measure the sample-members on some trait or attribute, calculate statistics that summarize the sample, and you’re off and running.

In addition to those summary statistics, you can use the statistics to estimate the population parameters. This is a big deal: Just on the basis of a small percentage of individuals from the population, you can draw a picture of the entire population.

How definitive is that picture? In other words, how much confidence can you have in your estimates? To answer this question, you have to have a context for your estimates. How probable are they? How likely is the true value of a parameter to be within a particular lower bound and upper bound?

In this chapter, I introduce the context for estimates, show how that context plays into confidence in those estimates, and show you how to use R to calculate confidence levels. ...

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Statistical Analysis with R For Dummies

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Publisher Resources

ISBN: 9781394263424Purchase Link