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Basic Statistics for the Behavioural Sciences

Basic Statistics for the Behavioural Sciences


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About the Book

This text addresses two important issues in the introductory statistics textbook market. Firstly, most texts place undue emphasis on mathematical formulas and procedures with complex computations. Secondly, most texts give little explanation of the conceptual nature and practical importance of the formulas and procedures. Heiman's text solves these issues by firmly rooting statistical procedures in the research context. The result is Heiman's unusually engaging approach in Basic Statistics for the Behavioural Sciences 4e that demystifies and fully explains statistics, without skipping relevant topics or simply presenting formulas. Highlights of the new fourth edition Include: - New! Plain English policy for the maths anxious student. The entire text has been extensively revised and edited to streamline the narrative, without removing content - Conceptual presentations have been tightened and a number of new explanatory techniques have been added - Greater emphasis in the fourth edition is placed on explaining how to use statistics and how to "think" in statistical terms - Expanded practice problems offered. Now a minimum of 25 conceptual, procedural or computational problems are provided at the end of each chapter - Pedagogically effective use of examples: virtually all examples include specific variables and research questions instead of generic data - Revised reference tables in the front-end pages provide guidelines for selecting from the descriptive and inferential procedures discussed in the text based on the type of data or research design employed

Table of Contents:
PART ONE: Introduction 1. Approaching Statistics 2. Statistics and the Research Process PART TWO: Descriptive Statistics: Describing Samples and Populations 3. Summarising Scores Using Frequency Distributions and Percentiles 4. Summarising Scores Using Measures of Central Tendency 5. Summarising Scores with Measures of Variability 6. Describing Data With z-Scores and the Normal Curve Model PART THREE: Describing Relationships 7. Describing Relationships Using Correlations 8. Linear Regression to Predict Scores PART FOUR: Inferential Statistics 9. Probability: Making Decisions about Chance Events 10. Overview of Statistical Hypothesis Testing: The z-Test 11. Hypothesis Testing for a Single Mean or a Correlation Coefficient: The t-Test 12. Hypothesis for Two-Sample Means: The t-Test 13. Hypothesis Testing for Two or More Means: The one-way Analysis of Variance 14. Hypothesis Testing for Means from Two Independent Variables: The two-way Analysis of Variance 15. Chi Square and Other Non-parametric Procedures Appendixes Glossary Index


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Product Details
  • ISBN-13: 9780618220175
  • Publisher: Houghton Mifflin
  • Publisher Imprint: Houghton Mifflin (Academic)
  • Edition: Revised edition
  • Language: English
  • Spine Width: 25 mm
  • Width: 203 mm
  • ISBN-10: 0618220178
  • Publisher Date: 30 Jul 2002
  • Binding: Hardback
  • Height: 230 mm
  • Returnable: N
  • Weight: 1180 gr


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