• 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.

Summary Statistics for Categorical Data
Summary statistics for categorical data

Just as it is important to summarise continuous variables, it is also important to summarise categorical data; for example variables which show ethnicity, religion, disease status or smoking status. As with continuous data, entry errors can be found through looking at frequency tables. These will be revealed by an unexpected numerical code which does not correspond to any code assigned to that variable. Rogue values should be checked and the correct value inserted if possible. Sometimes errors are due to pressing the wrong key during data entry; or else they could be as a result of filling the wrong cell when there are missing data in adjacent cells (a reason for including a missing data code ...

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