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Basic Statistics for the Behavioural Sciences by Heiman, Gary W. Hardback Book
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Item specifics
- Condition
- ISBN
- 061852813X
- EAN
- 9780618528134
- Date of Publication
- 2005-07-08
- Release Title
- Basic Statistics for the Behavioural Sciences
- Artist
- Heiman, Gary W.
- Brand
- N/A
- Colour
- N/A
- Book Title
- Basic Statistics for the Behavioural Sciences
About this product
Product Identifiers
Publisher
Wadsworth
ISBN-10
061852813X
ISBN-13
9780618528134
eBay Product ID (ePID)
15038567585
Product Key Features
Number of Pages
528 Pages
Publication Name
Basic Statistics for the Behavioral Sciences
Language
English
Subject
Psychotherapy / General, General, Teaching Methods & Materials / General
Publication Year
2005
Type
Textbook
Subject Area
Education, Psychology
Format
Hardcover
Dimensions
Item Height
1.3 in
Item Weight
39.3 Oz
Item Length
9.9 in
Item Width
8.1 in
Additional Product Features
Edition Number
5
Intended Audience
College Audience
LCCN
2005-920178
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
Contents Note: Each Chapter begins with Getting Started and ends with Putting It All Together, a Chapter Summary, Key Terms, Review Questions, and Application Questions. Chapters 3–15 include a Summary of Formulas. 1. Introduction to Statistics Why Is It Important to Learn Statistics (and How Do You Do That?) Review of Mathematics Used in Statistics 2. Statistics and the Research Process The Logic of Research Samples and Populations Applying Descriptive and Inferential Statistics Understanding Experiments and Correlational Studies The Characteristics of Scores Statistics in Published Research: Using Statistical Terms 3. Frequency Distributions and Percentiles New Statistical Notation Why Is It Important to Know about Frequency Distributions? Simple Frequency Distributions Types of Frequency Distributions Relative Frequency and the Normal Curve Computing Cumulative Frequency and Percentile Statistics in Published Research: APA Publication Rules A Word about Grouped Frequency Distributions 4. Measures of Central Tendency; The Mean, Median, and Mode New Statistical Notation Why Is It Important to Know about Central Tendency? What Is Central Tendency? The Mode The Median The Mean Transformations and the Mean Deviations around the Mean Describing the Population Mean Summarizing an Experiment Statistics in Published Research: Using the Mean 5. Measures of Variability: Range, Variance, and Standard Deviation New Statistical Notation Why Is It Important to Know about Measures of Variability? The Range Understanding the Variance and Standard Deviation Computing the Sample Variance and Sample Standard Deviation The Population Variance and the Population Standard Deviation Summary of the Variance and Standard Deviation Applying the Variance and Standard Deviation to Research Statistics in Published Research: Reporting Variability 6.z-Scores and the Normal Curve Model New Statistical Notation Why Is It Important to Know aboutz-Scores? Understandingz-Scores Interpretingz-Scores Using thez-Distribution Usingz-Scores to Compare Different Variables Usingz-Scores to Determine the Relative Frequency of Raw Scores Statistics in Published Research: Usingz-Scores Usingz-Scores to Describe Sample Means 7. The Correlation Coefficient New Statistical Notation Why Is It Important to Know about Correlation Coefficients? Understanding Correlational Research Types of Relationships Strength of the Relationship The Pearson Correlation Coefficient The Restriction of Range Problem Correlations in the Population Statistics in Published Research: Correlation Coefficients 8. Linear Regression New Statistical Notation Why Is It Important to Know about Linear Regression? Understanding Linear Regression The Linear Regression Equation Describing the Errors in Prediction Computing the Proportion of Variance Accounted For A Word About Multiple Correlation and Regression Statistics in Published Research: Linear Regression 9. Using Probability to Make Decisions about Data New Statistical Notation Why Is It Important to Know about Probability? The Logic of Probability Computing Probability Obtaining Probability from the Standard Normal Curve Random Sampling and Sampling Error Deciding Whether a Sample Represents a Population 10. Introduction to Hypothesis Testing New Statistical Notation Why Is It Important to Know about thez-Tests? The Role of Inferential Statistics in Research Setting Up Inferential Procedures Performing thez-Test Interpreting Significant Results Interpreting Nonsignificant Results Summary of thez-Test Statistics in
Synopsis
"Basic Statistics for the Behavioral Sciences "demystifies and fully explains statistics without leaving out relevant topics or simply presenting formulas, in a format that is non-threatening and inviting to students. Gary Heiman has written a textbook--clearly, patiently, and with an occasional touch of humor--that teaches students not only "how "to compute an answer on demand, but also "why "they should perform the procedure or what their answer reveals about the data. Heiman has achieved five objectives in writing this text: to take a conceptual-intuitive approach, to present statistics within an understandable research context, to deal directly and positively with student weaknesses in mathematics, to introduce new terms and concepts in an integrated way, and to create a text that students will enjoy as well as learn from!Appendix B explains the basics of how to use SPSS to analyze data. Tips on using SPSS are integrated throughout the text and now have a specific index to guide students."A Quick Review" features contain a simple review of previous concepts, additional examples, and study questions.A section on "Statistics in Published Research" helps students gain a perspective on how researchers use statistics and relates what students have learned in the chapter to what they will see (and won't see) when reading published research. (Includes using the APA format for stats.)Additional pedagogical features include a "Getting Started" section at the beginning of each chapter, "Statistical Notation" sections, "Remember" callout sections, computation formulas, "Putting It All Together" sections, chapter summaries, and summaries of formulas., Basic Statistics for the Behavioral Sciences demystifies and fully explains statistics without leaving out relevant topics or simply presenting formulas, in a format that is non-threatening and inviting to students. Gary Heiman has written a textbook--clearly, patiently, and with an occasional touch of humor--that teaches students not only how to compute an answer on demand, but also why they should perform the procedure or what their answer reveals about the data. Heiman has achieved five objectives in writing this text: to take a conceptual-intuitive approach, to present statistics within an understandable research context, to deal directly and positively with student weaknesses in mathematics, to introduce new terms and concepts in an integrated way, and to create a text that students will enjoy as well as learn from!
LC Classification Number
QA276.12.H45 2006
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