• Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation. • In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation. • Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included. • Computational procedures are illustrated with step-by-step, easy-to-follow examples. • End-of-chapter exercises provide ample practice for students to master both computations and statistical concepts. • Eliminates the need for students to buy a traditional statistics book that emphasizes inferential statistics. • Thoroughly field-tested for student comprehension. • The answer key makes it easy for you to start using this book right away. • This book will please you and your students with its clarity of presentation. • Outstanding supplement for students who need to describe term project data.
In this book, you will learn: - Historical Development of Statistics - Data Sampling - Central Tendency Measures - Measures Of Spread - Measures Of Position - Designing Hypothesis Tests - Probability & Bayes Theory - Regression Analysis - ...
This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical ...
Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times.
Statistics Fundamentals addresses the needs of visual learners by offering a handbook that is easy to read with more diagrams and illustrations to convey statistical concepts with minimal text throughout its chapters.The text starts with ...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced.
Indeed, this exciting new book offers the perfect foundation upon which readers can build as their studies and careers progress to more advanced forms of statistics.
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As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver.
This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and ...
Statistics Fundamentals addresses the needs of visual learners by offering a handbook that is easy to read with more diagrams and illustrations to convey statistical concepts with minimal text throughout its chapters.The text starts with ...