• Summary
  • Contents
  • Subject index

With the inclusion of real-world data and a host of health-related examples, this is an impressive introductory statistics text ideal for all health science and nursing students. Health and nursing students can be anxious and lacking in confidence when it comes to handling statistics. This book has been developed with this readership in mind. This accessible text avoids using long and off-putting statistical formulae in favor of non-daunting practical and SPSS-based examples. What’s more, its content will fit ideally with the common course content of stats courses in the field.

Comparing Means
Comparing means
Introduction

Once continuous data have been explored using summary statistics as shown in Chapter 5, it may be appropriate to discover whether means are significantly different between groups. This chapter will use parametric tests; which have assumptions about the data that have to be satisfied before the test can be used with a given variable. Statistical tests for continuous data which do not have such assumptions are explored in Chapter 10.

Where there are two groups the independent samples t-test should be used. Where there are more than two groups the most appropriate statistical test is the one-way analysis of variance (ANOVA). Sometimes the same measurement is taken on the same participants at two or more time points, for example lung function before and ...

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