Chapter 14
To All the Variables We’ve Encountered: Multivariate Statistical Techniques
In This Chapter
Understanding how hypothesis tests can be conducted for two population means
Using the F-distribution to compare the variances of two populations
Comparing the means of three or more populations with ANOVA
Checking out different approaches to measuring correlation
Multivariate techniques are used to analyze the relationship between two or more variables. These techniques are of necessity more complex than univariate techniques (which are covered in Chapter 13).
This chapter shows how hypothesis testing can be used to determine the relationship between any and all of the following:
- Two population means
- Two population variances
- Three or more population means
The chapter also discusses correlation in detail, showing two different approaches to computing it:
- Pearson’s product-moment correlation coefficient
- Spearman’s rank correlation coefficient
Testing Hypotheses about Two Population Means
Testing a hypothesis about the means of two different populations is conducted in six ...
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