In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand basic statistical concepts. 100 Questions (and Answers) About Statistics addresses the essential questions that students ask about statistics in a concise and accessible way. It is perfect for instructors, students, and practitioners as a supplement to more comprehensive materials, or as a desk reference with quick answers to the most frequently asked questions.

100 Questions (and Answers) About Action Research by Luke Duesbery and Todd Twyman identifies and answers the essential questions on the process of systematically approaching your practice from an inquiry-oriented perspective, with a focus on improving that practice. This unique text offers progressive instructors an alternative to the research status quo and serves as a reference for readers to improve their practice as advocates for those they serve. The Question and Answer format makes this an ideal supplementary text for traditional research methods courses, and also a helpful guide for practitioners in education, social work, criminal justice, health, business, and other applied disciplines.

"The book is divided into three Parts: Part One has chapters that introduce data analysis and SPSS; Part Two contains eight chapters on descriptive statistics that begin with frequency tables and go through multiple regression; and Part Three includes six chapters on inferential statistics. Part One: Getting Started begins by answering some questions most students have right at the start © questions like why study data analysis and how much math and computer knowledge is required? Essential concepts from research methods relevant for data analysis are also explained. Part Two: Descriptive Statistics: Answering Questions about Your Data demonstrates procedures to use when the analyst is only concerned with describing the cases for which he or she actually has data. Statistics summarizing single variables (univariate statistics) are presented first and then statistics summarizing relationships between variables (multivariate statistics). Frequency tables, measures of central tendency, measures of dispersion, crosstabs, measures of association, subgroup means, and regression are all covered as are bar charts, pie charts, histograms, and clustered bar charts. Part Three: Inferential Statistics: Answering Questions about Populations explains procedures which allow the analyst to draw conclusions about the population from which his or her sample of cases was randomly selected. It begins with a simple chapter on the statistical theory behind inferential statistics. A four-step approach to hypothesis testing is introduced in the next chapter and demonstrated with one-sample t test hypotheses. The remaining chapters present different types of hypothesis tests including paired-samples, independent-samples, one and two-way ANOVA, and chi-square"--Provided by publisher.

Erin Ruel's 100 Questions (and Answers) About Survey Research covers the entire survey research process, starting with developing research questions and ending with the analysis and write-up. It includes the traditional survey topics of design, sampling, question writing, and validity; includes a chapter on research ethics; covers the important topics of preparing, cleaning, and analyzing data; and ends with a section on how to write up survey results for a variety of purposes. Useful as a supplementary text in the classroom or as a reference guide for anyone starting a new survey project, the guidance is presented in a FAQ style to allow readers to jump around the book, so as to accommodate the nonlinear and iterative nature of research.

James Dean Brown ("JD"), currently Professor of Second Language Studies at the University of Hawaii at Manoa, has lectured and taught around the world and has published numerous articles and books on language testing, curriculum design, research methods, and connected speech. For close to twenty years, Professor Brown has contributed a regular column called Statistics Corner to Shiken, the biannual publication of the Testing and Evaluation Special Interest Group (TEVAL) of the Japan Association for Language Teaching (JALT). In his column, JD answers questions submitted by readers about language testing and statistics in an informal and easy to understand format. This volume brings together in one convenient location, forty-one Statistics Corner columns-updated, arranged thematically, and fully indexed. Presented in a question and answer format, the clear and concise explanations are both accessible to novices and engaging to experts. Topics addressed include: Second language testing strategies Likert items and scales of measurement Validity and reliability of tests and questionnaires Item analysis techniques for norm-referenced and criterion-referenced tests Conducting and interpreting principle component and factor analyses Planning and interpreting qualitative, quantitative, and mixed-methods research Clear explanations of the meaning and interpretation of frequently reported statistics such as Cronbach's alpha, standard error, confidence intervals, eta squared, Cohen's Kappa, skewness and kurtosis, and more."

EMPOWER YOURSELF! Whether you’re a newly diagnosed myeloma patient, a survivor, or a friend or relative of either, this book offers help. The only text to provide the doctor’s and patient’s views, 100 Questions & Answers About Myeloma, Third Edition gives you authoritative, practical answers to your questions about treatment options, post-treatment quality of life, sources of support, and much more. Written by a hematologist-oncologist specializing in myeloma treatment, and featuring “insider” advice from an actual patient, this book is an invaluable resource for anyone coping with the physical and emotional turmoil of this frightening disease.

Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.