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|a 300.727
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|a UAMI
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|a Abbott, Martin Lee.
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|a Using Statistics in the Social and Health Sciences with SPSS and Excel.
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|a Newark :
|b Wiley,
|c 2016.
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|a 1 online resource (585 pages)
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|a text
|b txt
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|a 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.
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|a 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.
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|a 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.
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|a 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.
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|a 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.
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|a Using SPSS® and Excel to Transform Scores.
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|a 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 of specific topics from the social and health sciences. Researched and class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations for both the novice and professional alike to understand the fundamental statistical practices for organizing, analyzing, and drawing conclusions from research data in their field. The book begins with an introduction to descriptive and inferential statistics and then acquaints readers with important features of statistical applications (SPSS and Excel) that support statistical analysis and decision making. Subsequent chapters treat the procedures commonly employed when working with data across various fields of social science research. Individual chapters are devoted to specific statistical procedures, each ending with lab application exercises that pose research questions, examine the questions through their application in SPSS and Excel, and conclude with a brief research report that outlines key findings drawn from the results. Real-world examples and data from social and health sciences research are used throughout the book, allowing readers to reinforce their comprehension of the material. Using Statistics in the Social and Health Sciences with SPSS and Excel includes: - Use of straightforward procedures and examples that help students focus on understanding of analysis and interpretation of findings - Inclusion of a data lab section in each chapter that provides relevant, clear examples - Introduction to advanced statistical procedures in chapter sections (e.g., regression diagnostics) and separate chapters (e.g., multiple linear regression) for greater relevance to real-world research needs Emphasizing applied statistical analyses, this book can serve as the primary text in undergraduate and graduate university courses within departments of sociology, psychology, urban studies, health sciences, and public health, as well as other related departments. It will also be useful to statistics practitioners through extended sections using SPSS and Excel for analyzing data. Martin Lee Abbott, PhD, is Professor of Sociology at Seattle Pacific University, where he has served as Executive Director of the Washington School Research Center, an independent research and data analysis center funded by the Bill & Melinda Gates Foundation. Dr. Abbott has held positions in both academia and industry, focusing his consulting and teaching in the areas of statistical procedures, program evaluation, applied sociology, and research methods. He is the author of Understanding Educational Statistics Using Microsoft Excel and SPSS, The Program Evaluation Prism: Using Statistical Methods to Discover Patterns, and Understanding and Applying Research Design, also from Wiley.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Mathematical statistics
|x Data processing.
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650 |
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|a Multivariate analysis
|x Data processing.
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650 |
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|a Statistique mathématique
|x Informatique.
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|a Analyse multivariée
|x Informatique.
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|a SOCIAL SCIENCE
|x Statistics.
|2 bisacsh
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7 |
|a Mathematical statistics
|x Data processing
|2 fast
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650 |
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|a Multivariate analysis
|x Data processing
|2 fast
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|i has work:
|a Using statistics in the social and health sciences with SPSS and Excel (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGbRfT8V3FQQy3GwT8hwT3
|4 https://id.oclc.org/worldcat/ontology/hasWork
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776 |
0 |
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|i Print version:
|a Abbott, Martin Lee.
|t Using Statistics in the Social and Health Sciences with SPSS and Excel.
|d Newark : Wiley, ©2016
|z 9781119121077
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856 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4605618
|z Texto completo
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|a Recorded Books, LLC
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