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Using Statistics in the Social and Health Sciences with SPSS and Excel.
Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS and Excel applications This book identifies connections between statistical applications and research design using cases, examples, and discussion o...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Newark :
Wiley,
2016.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Title Page; Copyright; Dedication; Contents; Preface; Acknowledgments; Chapter 1 Introduction; Big Data Analysis; Visual Data Analysis; Importance of Statistics for the Social and Health Sciences and Medicine; Historical Notes: Early Use of Statistics; Approach of the Book; Cases from Current Research; Research Design; Focus on Interpretation; Coverage of Statistical Procedures; Chapter 2 Descriptive Statistics: Central Tendency; What is the Whole Truth? Research Applications (Spuriousness); Descriptive and Inferential Statistics; The Nature of Data: Scales of Measurement; Nominal Data.
- Ordinal DataInterval Data; Ratio Data; Choosing the Correct Statistical Procedure for the Nature of Research Data; Descriptive Statistics: Central Tendency; Mean; Median; Mode; Central Tendency and Levels of Data; Using SPSS® and Excel to Understand Central Tendency; SPSS®; Excel; Distributions; Describing the Normal Distribution: Numerical Methods; Central Tendency; Skewness; Kurtosis; Descriptive Statistics: Using Graphical Methods; Frequency Distributions; Column Charts in Excel; Bar Charts and Histograms
- Bar Charts and Histograms in SPSS®; Terms and Concepts.
- Data Lab and Examples (with Solutions)Data Lab: Solutions; Chapter 3 Descriptive Statistics: Variability; Range; Percentile; Scores Based on Percentiles; Using SPSS® and Excel to Identify Percentiles; SPSS® Procedures; Excel Procedures; Standard Deviation and Variance; Calculating the Variance and Standard Deviation; The Deviation Method; The Average Deviation; The Computation Method; The Sum of Squares; Population SD and Inferential SD; Obtaining SD from Excel and SPSS®; Terms and Concepts; Data Lab and Examples (with Solutions); Data Lab: Solutions; Chapter 4 The Normal Distribution.
- The Nature of the Normal CurveThe Standard Normal Score: Z Score; The Z Score Table of Values; Navigating the Z Score Distribution; Calculating Percentiles; Creating Rules for Locating Z Scores; Calculating Z Scores; Working with Raw Score Distributions; Using SPSS® to Create Z Scores and Percentiles; Creating Z Scores; Creating Percentiles in SPSS®; Using Excel to Create Z Scores; STANDARDIZE Function; Using Excel and SPSS® for Distribution Descriptions; NORM. S. DIST Function; NORM. DIST Function; Terms and Concepts; Data Lab and Examples (with Solutions); Data Lab: Solutions.
- Chapter 5 Probability And the Z DistributionThe Nature of Probability; Elements of Probability; Empirical Probability; Combining Probabilities; Combining Probabilities: Addition Rule; Combining Probabilities: Multiplication Rule; Combinations and Permutations; Combination; Permutation; Conditional Probability: Using Bayes' Theorem; Z Score Distribution and Probability; Transforming a Raw Score to a Z Score: Statistical Testing; Transforming a Z Score to a Raw Score: Estimation; Transforming Cumulative Proportions to z Scores; Deriving Sample Scores from Cumulative Percentages.