Statistics Explained A Guide for Social Science Students 2nd Edition by Perry Hinton ISBN 0415332850 9780415332859

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ISBN 10: 0415332850 
ISBN 13: 9780415332859
Author: Perry Hinton

Statistics Explained clearly outlines the major statistical tests used by undergraduates in the social sciences. It provides easy-to-understand explanations of how and why they are used and makes statistics much less mysterious. This book:

• Is a simple introduction to the jargon
• Shows you when to be sceptical about statistics
• Guides you in using computers in statistical analysis.

Statistics Explained can be dipped into so that readers can see why a specific analytical procedure was developed and what it is best used for. Readers can also analyse their own data by following the worked examples provided. People who understand statistics are not unusual. Anyone can do it. In this book, Perry Hinton shows that statistics can be a logical and helpful tool to all of us in deciding answers to our research questions. Statistics Explained will be warmly welcomed by students at all levels, and by the lecturers who struggle to teach them.

Statistics Explained A Guide for Social Science Students 2nd Table of contents:

Part I: Getting Started: Describing and Exploring Your Data

Chapter 1: Why We Need Statistics in Social Science

• 1.1 The Role of Statistics in Research
• 1.2 Populations vs. Samples
• 1.3 Variables and Constants

Chapter 2: Types of Data and Levels of Measurement

• 2.1 Nominal and Ordinal Data
• 2.2 Interval and Ratio Data
• 2.3 The Importance of Choosing the Right Test for the Right Data

Chapter 3: Displaying Your Data

• 3.1 Tables and Frequency Distributions
• 3.2 Visualizing Data with Bar Charts, Pie Charts, and Histograms
• 3.3 The Power and Pitfalls of Graphs

Chapter 4: Measures of Central Tendency: What is the “Average”?

• 4.1 The Mean: The Arithmetic Average
• 4.2 The Median: The Middle Value
• 4.3 The Mode: The Most Frequent Value
• 4.4 Choosing the Best Measure for Your Data

Chapter 5: Measures of Dispersion: How Spread Out is the Data?

• 5.1 The Range
• 5.2 The Interquartile Range
• 5.3 The Variance and Standard Deviation
• 5.4 What the Standard Deviation Really Means

Part II: The Foundation of Inferential Statistics

Chapter 6: Probability and the Normal Distribution

• 6.1 The Basics of Probability
• 6.2 The Bell Curve: A Natural Phenomenon
• 6.3 Z-Scores: Standardizing Your Data

Chapter 7: Introduction to Hypothesis Testing

• 7.1 Formulating a Research Hypothesis and a Null Hypothesis
• 7.2 The Logic of Statistical Significance
• 7.3 Type I and Type II Errors
• 7.4 One-Tailed vs. Two-Tailed Tests

Part III: Making Inferences: Common Statistical Tests

Chapter 8: The Independent-Measures t-test

• 8.1 When to Use This Test
• 8.2 The Logic and Formula
• 8.3 Running the Test and Interpreting the Results

Chapter 9: The Paired-Samples t-test

• 9.1 When to Use This Test (Repeated Measures)
• 9.2 The Logic of Before-and-After Comparisons
• 9.3 Running the Test and Interpreting the Results

Chapter 10: Analysis of Variance (ANOVA)

• 10.1 When to Use ANOVA: Comparing More Than Two Groups
• 10.2 The Logic of Between-Groups and Within-Groups Variance
• 10.3 Post-Hoc Tests: Finding Which Groups Are Different

Chapter 11: Chi-Square Test

• 11.1 When to Use Chi-Square: Analyzing Frequencies and Categorical Data
• 11.2 The Goodness-of-Fit Test
• 11.3 The Test of Independence

Part IV: Exploring Relationships between Variables

Chapter 12: Correlation: Is There a Relationship?

• 12.1 The Pearson Correlation Coefficient (r)
• 12.2 Understanding the Strength and Direction of a Relationship
• 12.3 Correlation vs. Causation

Chapter 13: Linear Regression: Predicting an Outcome

• 13.1 Building a Regression Equation
• 13.2 The Line of Best Fit
• 13.3 Interpreting the Results and Making Predictions

Part V: Practical Application and Reporting

Chapter 14: Using Statistical Software for Analysis

• 14.1 A Step-by-Step Guide to SPSS (or alternative software)
• 14.2 Entering and Managing Your Data
• 14.3 Running Key Statistical Tests in the Software

Chapter 15: Writing Up Your Results

• 15.1 Presenting Tables and Figures
• 15.2 Reporting Your Findings in APA Style
• 15.3 The Discussion Section: What Your Results Mean

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Tags: Perry Hinton, Statistics, Science