100 Questions And Answers About Statistics

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. “The key strength of this book is the straightforward approach. I love the to-the-point question-and-answer format. . . . This book would be useful in both statistics and research methods courses . . . [and] in math tutoring labs. I love the tone the author uses, as it is not condescending. Students will be encouraged.” —Jamie Brown, Mercer University “The sequencing of the questions works very well—from the most basic to the more intimidating questions often asked by students in an intro class. . . . If Dr. Salkind is the author, I know it will be well-written, and both entertaining and easy to understand.” —Linda Martinez, California State University, Long Beach “Practical examples from all types of work: showing the steps to do each analysis and then the ways to use the results responsibly.” —Jennifer R. Salmon, Eckerd College

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.

"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.

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."

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.

A friendly and accessible approach to applying statistics in the real world With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics presents fun and unique examples, guides readers through the entire data collection and analysis process, and introduces basic statistical concepts along the way. Leaving proofs and complicated mathematics behind, the author portrays the more engaging side of statistics and emphasizes its role as a problem-solving tool. In addition, light-hearted case studies illustrate the application of statistics to real data analyses, highlighting the strengths and weaknesses of commonly used techniques. Written for the growing academic and industrial population that uses statistics in everyday life, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics highlights important issues that often arise when collecting and sifting through data. Featured concepts include: • Descriptive statistics • Analysis of variance • Probability and sample distributions • Confidence intervals • Hypothesis tests • Regression • Statistical correlation • Data collection • Statistical analysis with graphs Fun and inviting from beginning to end, The Art of Data Analysis is an ideal book for students as well as managers and researchers in industry, medicine, or government who face statistical questions and are in need of an intuitive understanding of basic statistical reasoning.

In the book "Probability Questions and Answers", the writer has presented step by step solutions for 100 probability questions. These probability questions are solved using probability theories, venn diagrams, tree diagrams, contingency tables and combinations. A student can acquire a solid and deep knowledge on solving probability questions by using this book. If you have any suggestions contact me at http: //anushabooks.com/

To maximize the impact of any piece of statistical work, it is important to tailor it to the right group. What kind of audience is your work aimed towards? For example, textbooks that are intended for students benefit from sections with problems and answers.