Autor des Abschnitts: Danielle J. Navarro and David R. Foxcroft

Zusammenfassung

In this chapter I have covered two main topics. The first half of the chapter talks about sampling theory, and the second half talks about how we can use sampling theory to construct estimates of the population parameters. The section breakdown looks like this:

• Grundlegende Überlegungen zu Stichproben, Grundgesamtheiten und das Ziehen von Stichproben

• Statistische Theorie der Ziehung von Stichproben: das Gesetz der großen Zahlen

• Stichprobenverteilungen und der zentrale Grenzwertsatz

• Schätzen von Populationsparametern

• Schätzen eines Konfidenzintervalls

As always, there is a lot of topics related to sampling and estimation that are not covered in this chapter, but for an introductory psychology class this is fairly comprehensive I think. For most applied researchers you will not need much more theory than this. One big question that I have not touched on in this chapter is what you do when you do not have a simple random sample. There is a lot of statistical theory you can draw on to handle this situation, but it is well beyond the scope of this book.