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Practical statistics for nursing and health care /
Nursing is a growing area of higher education, in which an introduction to statistics is an essential component. There is currently a gap in the market for a 'user-friendly' book which is contextulised and targeted for nursing. Practical Statistics for Nursing and Health Care introduces st...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Wiley,
2013.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Title Page; Contents; Preface; Foreword to Students; 1 INTRODUCTION; 1.1 What do we mean by statistics?; 1.2 Why is statistics necessary?; 1.3 The limitations of statistics; 1.4 Calculators and computers in statistics; 1.5 The purpose of this teXt; 2 HEALTH CARE INVESTIGATIONS: MEASUREMENT AND SAMPLING CONCEPTS; 2.1 Introduction; 2.2 Populations; 2.3 Counting things
- the sampling unit; 2.4 Sampling strategy; 2.5 Target and study populations; 2.6 Sample designs; 2.7 Simple random sampling; 2.8 Systematic sampling; 2.9 Stratified sampling; 2.10 Quota sampling; 2.11 Cluster sampling.
- 2.12 Sampling designs
- summary2.13 Statistics and parameters; 2.14 Descriptive and inferential statistics; 2.15 Parametric and non-parametric statistics; 3 PROCESSING DATA; 3.1 Scales of measurement; 3.2 The nominal scale; 3.3 The ordinal scale; 3.4 The interval scale; 3.5 The ratio scale; 3.6 Conversion of interval observations to an ordinal scale; 3.7 Derived variables; 3.8 Logarithms; 3.9 The precision of observations; 3.10 How precise should we be?; 3.11 The frequency table; 3.12 Aggregating frequency classes; 3.13 Frequency distribution of count observations; 3.14 Bivariate data.
- 4 PRESENTING DATA4.1 Introduction; 4.2 Dot plot or line plot; 4.3 Bar graph; 4.4 Histogram; 4.5 Frequency polygon and frequency curve; 4.6 Scattergram; 4.7 Circle or pie graph; 5 CLINICAL TRIALS; 5.1 Introduction; 5.2 The nature of clinical trials; 5.3 Clinical trial designs; 5.4 Psychological effects and blind trials; 5.5 Historical controls; 5.6 Ethical issues; 5.7 Case study: Leicestershire Electroconvulsive Therapy (ECT) study; 5.8 Summary; 6 INTRODUCTION TO EPIDEMIOLOGY; 6.1 Introduction; 6.2 Measuring disease; 6.3 Study designs
- cohort studies; 6.4 Study designs
- case-control studies.
- 6.5 Cohort or case-control study?6.6 Choice of comparison group; 6.7 Confounding; 6.8 Summary; 7 MEASURING THE AVERAGE; 7.1 What is an average?; 7.2 The mean; 7.3 Calculating the mean of grouped data; 7.4 The median
- a resistant statistic; 7.5 The median of a frequency distribution; 7.6 The mode; 7.7 Relationship between mean, median and mode; 8 MEASURING VARIABILITY; 8.1 Variability; 8.2 The range; 8.3 The standard deviation; 8.4 Calculating the standard deviation; 8.5 Calculating the standard deviation from grouped data; 8.6 Variance.
- 8.7 An alternative formula for calculating the variance and standard deviation8.8 Obtaining the standard deviation and sum of squares from a calculator; 8.9 Degrees of freedom; 8.10 The Coefficient of Variation (CV); 9 PROBABILITY AND THE NORMAL CURVE; 9.1The meaning of probability; 9.2 Compound probabilities; 9.3 Critical probability; 9.4 Probability distribution; 9.5 The normal curve; 9.6 Some properties of the normal curve; 9.7 Standardizing the normal curve; 9.8 Two-tailed or one-tailed?; 9.9 Small samples: the t-distribution; 9.10 Are our data 'normal? 9.11 Dealing with 'non-normal data.