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Real Data

Author: Zealure C Holcomb
Publisher: Routledge
ISBN: 1351867296
Size: 34.78 MB
Format: PDF
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• In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions. • Students get practice in computing all the major statistics usually covered in an introductory statistics course. • Because each of the 35 exercises in Part A deals with only a limited number of statistics, the workbook is easily coordinated with all introductory statistics textbooks. • Part A emphasizes small data sets that are useful whether students are using calculators or computers. The exercises in this part are highly structured so students know exactly what is required of them. • Part B provides larger data sets for comprehensive analysis by computer users. Loosely structured, the data sets allow you to specify which statistics should be computed. • Sample topics: Kissing and Sexual Harassment; Basic Trust of Rape Survivors; Gambling and Stealing; Pregnancy Risk Among Adolescents Who Had Been Sexually Abused; Boys Interacting with Their Fathers; Racial Differences in Seeking Medical Assistance; Instructors’ Clothing and Student Evaluations; Students’ Attitudes Toward Math; and Physician-Assisted Suicide. • Using real data for analysis makes the traditional statistics class come alive.

How To Use Spss

Author: Brian C Cronk
Publisher: Routledge
ISBN: 135196920X
Size: 69.58 MB
Format: PDF, Kindle
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• Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data. • All major statistical techniques covered in beginning statistics classes are included: · descriptive statistics · graphing data · prediction and association · parametric inferential statistics · nonparametric inferential statistics · statistics for test construction • Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics. • Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test. • More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. • A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms. • Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program. • Thoroughly field-tested; your students are certain to appreciate this book.

Advertising And Public Relations Research

Author: Donald W. Jugenheimer
Publisher: Routledge
ISBN: 1317507363
Size: 75.26 MB
Format: PDF, Kindle
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Designed to serve as a comprehensive, primary text for research methods courses in advertising and/or public relations programs, this book concentrates on the uses and applications of research in advertising and public relations situations. The authors' goal is to provide the information needed by future practitioners to commission and apply research to their work problems in advertising and public relations.

Interpreting Basic Statistics

Author: Zealure C. Holcomb
Publisher: Routledge
ISBN: 1351847503
Size: 27.70 MB
Format: PDF, ePub
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Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. New to the eighth edition:? A broader array of basic statistical concepts is covered, especially to better reflect the New Statistics.? Journal excerpts have been updated to reflect current styles in statistical reporting. A stronger emphasis on data visualizations has been added. The statistical exercises have been re-organized into units to facilitate ease of use and understanding. About this book Each of the 64 exercises gives a brief excerpt of statistical reporting from a published research article, and begins with guidelines for interpreting the statistics in the excerpt. The questions on the excerpts promote learning by requiring students to interpret information in tables and figures, perform simple calculations to further their interpretations, critique data-reporting techniques, and evaluate procedures used to collect data. Each exercise covers a limited number of statistics, making it easy to coordinate the exercises with lectures and a main textbook. The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The factual questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations.

Basic Statistical Analysis

Author: Richard C. Sprinthall
Publisher: Pearson
ISBN: 9781292026824
Size: 31.35 MB
Format: PDF
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The material in this user-friendly text is presented as simply as possible to ensure that students will gain a solid understanding of statistical procedures and analysis. The goal of this book is to demystify and present statistics in a clear, cohesive manner. The student is presented with rules of evidence and the logic behind those rules. The book is divided into three major units: Descriptive Statistics, Inferential Statistics, and Advanced Topics in Inferential Statistics. Every effort has been made to keep the writing as clear as possible and always aimed at the student's life space. Computational procedures are laid out in a step-by-step, programmed format. This is a straightforward presentation of the essentials of statistical analysis emphasizing the constant interaction between statistical techniques and the resarch methodology.

Neuroscience Basics

Author: Jennifer L. Larimore
Publisher: Academic Press
ISBN: 0128110171
Size: 76.81 MB
Format: PDF, ePub, Mobi
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Neuroscience Basics: A Guide to the Brain’s Involvement in Everyday Activities examines how our brain works in everyday activities like sleeping, eating, love, and exercise. Many want to better understand how the brain works, but the terminology and jargon of books can be overwhelming. The book covers the basics taught in an introductory neurobiology course designed for anyone new to the neuroscience field, including non-neuroscientists. While each of the chapters explore the brain in a normal state, Neuroscience Basics also discusses disruptions of the normal state—psychosis, Alzheimer’s, Parkinson’s, autism, learning disorders, etc. This book breaks down the topics into language that is more accessible while making the neuroscience topics fun and relevant. Provides basic understanding of neuroscience topics that are part of everyday life Provides basic diagrams and descriptions of some basic anatomy Explores and explains current research in each of the chapters and topics Examines basics that are taught in an introductory neuroscience course to provide working knowledge of how the brain works for non-neuroscientists

Statistics In Context

Author: Barbara Blatchley
Publisher: Oxford University Press, USA
ISBN: 9780190278953
Size: 46.29 MB
Format: PDF, ePub, Docs
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Machine generated contents note: -- Chapter 1 Introduction: Statistics--Who Needs Them? -- Chapter 2 Types of Data -- Chapter 3 A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics -- Chapter 4 Measures of Central Tendency: What's So Average about the Mean? -- Chapter 5 Variability: The "Law of Life" -- Chapter 6 Where Am I? Normal Distributions and Standard Scores -- Chapter 7 Basic Probability Theory -- Chapter 8 The Central Limit Theorem and Hypothesis Testing -- Chapter 9 The z-Test -- Chapter 10 The t-Test -- Chapter 11 Analysis of Variance -- Chapter 12 Confidence Intervals and Effect Size: Building a Better Mousetrap -- Chapter 13 Correlation and Regression: Are We Related? -- Chapter 14 The Chi-Square Test -- Chapter 15 Non-parametric Tests -- Chapter 16 Which Test Should I Use and Why?

Statistics And Probability In High School

Author: Carmen Batanero
Publisher: Springer
ISBN: 9463006249
Size: 21.15 MB
Format: PDF, Mobi
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Statistics and probability are fascinating fields, tightly interwoven with the context of the problems which have to be modelled. The authors demonstrate how investigations and experiments provide promising teaching strategies to help high-school students acquire statistical and probabilistic literacy. In the first chapter the authors put into practice the following educational principles, reflecting their views of how these subjects should be taught: a focus on the most relevant ideas and postpone extensions to later stages; illustrating the complementary/dual nature of statistical and probabilistic reasoning; utilising the potential of technology and show its limits; and reflecting on the different levels of formalisation to meet the wide variety of students’ previous knowledge, abilities, and learning types. The remaining chapters deal with exploratory data analysis, modelling information by probabilities, exploring and modelling association, and with sampling and inference. Throughout the book, a modelling view of the concepts guides the presentation. In each chapter, the development of a cluster of fundamental ideas is centred around a statistical study or a real-world problem that leads to statistical questions requiring data in order to be answered. The concepts developed are designed to lead to meaningful solutions rather than remain abstract entities. For each cluster of ideas, the authors review the relevant research on misconceptions and synthesise the results of research in order to support teaching of statistics and probability in high school. What makes this book unique is its rich source of worked-through tasks and its focus on the interrelations between teaching and empirical research on understanding statistics and probability.