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CHAPTER 8: HYPOTHESIS TESTING: DO MY SAMPLES COME FROM THE SAME POPULATION? NON-PARAMETRIC DATA

In this section we have included some additional examples for you to test out your understanding of the topics in this chapter. The areas each exercise covers are explained at the start of each question so that you can decide if this is a topic you would like to practice.

Cross referencing to the book uses the numbers from the sections in the book. Cross referencing to material on these web pages is always indicated by a W.

Throughout these sections we have highlighted the words that appear in our glossary. This is provided as part of this website to make it easy for you to check the meaning of these terms.

If an answer is numerical you should enter the value up to 2 decimal places. The computer will check your answer. If it is not correct you will be able to check the calculation to see where you went wrong. If the answer is text then having entered your answer you will be able to check our answer to see if you are correct.

In the following interactive exercises we ask a series of questions about a particular undergraduate study. We then walk you through the steps you need to follow to answer each question. Where there are calculations you can check your answer, and see the calculation in full and see how to carry out these calculations using Excel, SPSS, and Minitab.

INTERACTIVE EXERCISE 1. EXAMPLE W7.1. The effect on reaction times of moderate alcohol intake in a cohort of 19 - 25 year olds.

The aim of this exercise is to develop your understanding of the use of the terms introduced in 3.1 and the topics covered in 8.2. This example relates to the interactive exercise 1 in Chapter 7 and Example W7.1.

INTERACTIVE EXERCISE 2. EXAMPLE W8.3. The inhibitory effect of oregano oil and selected antibiotics on certain bacteria.

This example was also used in interactive exercise 2 in Chapter 7. The aim of this exercise (exercise 2, Chapter 8) is to allow you to test your understanding of sections 4.1.2, 8.5 and 8.7 and illustrates why you may obtain negative values in a non-parametric ANOVA.