Chapter 14
Applications of the F-Distribution
IN THIS CHAPTER
Introducing the F-distribution
Testing hypotheses about the equality of two population variances
Choosing a level of significance
This chapter introduces the F-distribution. The F-distribution is used for several applications in statistics, such as testing hypotheses about three or more population means, testing the quality of results in regression analysis, and testing hypotheses about two population variances. In this chapter, I introduce the key properties of the F-distribution and show you how to test hypotheses about two population variances.
Getting to Know the F-Distribution
The F-distribution is a continuous probability distribution, which means that it is defined for an infinite number of different values. (Continuous probability distributions, such as the normal distribution, are introduced in Chapter 9.) The F-distribution was named after the renowned statistician Sir Ronald Fisher (1890–1962).
The F-distribution shares one important property with the Student’s t-distribution (introduced in Chapter 11): Probabilities are determined by a concept known as degrees of freedom (df). Unlike the Student’s t-distribution, ...
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