O'Reilly logo

Statistics For Dummies®, 2nd Edition by Deborah J. Rumsey

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 15

Commonly Used Hypothesis Tests: Formulas and Examples

In This Chapter

  • Breaking down commonly used hypothesis tests
  • Calculating their test statistics
  • Using the results to make informed decisions

From product advertisements to media blitzes on recent medical breakthroughs, you often run across claims made about one or more populations. For example, “We promise to deliver our packages in two days or less” or “Two recent studies show that a high-fiber diet may reduce your risk of colon cancer by 20%.” Whenever someone makes a claim (also called a null hypothesis) about a population (such as all packages, or all adults) you can test the claim by doing what statisticians call a hypothesis test.

A hypothesis test involves setting up your hypotheses (a claim and its alternative), selecting a sample (or samples), collecting data, calculating the relevant statistics, and using those statistics to decide whether the claim is true.

In this chapter, I outline the formulas used for some of the most common hypothesis tests, explain the necessary calculations, and walk you through some examples.

images If you need more background information on hypothesis testing (such as setting up hypotheses, understanding test statistics, p-values, significance levels, and type-1 and type-2 errors), just flip to Chapter 14. All the general concepts of hypothesis testing are developed there. This chapter ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required