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Statistics for Big Data For Dummies by David Semmelroth, Alan Anderson

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Chapter 14

To All the Variables We’ve Encountered: Multivariate Statistical Techniques

In This Chapter

arrow Understanding how hypothesis tests can be conducted for two population means

arrow Using the F-distribution to compare the variances of two populations

arrow Comparing the means of three or more populations with ANOVA

arrow 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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