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This isn't just another variation on the same theme--this textbook offers something new and better for the course. Hurlburt's unique, eyeball-estimation techniques, introduced in the first edition of this text, have won praise from faculty and students. Hurlburt's approach trains students to think critically and discriminate among various statistical techniques. Using Hurlburt's methods, students learn to "read" a graph of data and quickly predict what the statistic will show. Hurlburt also effectively uses repetition and a progressive, cumulative integration of concepts, so students build upon what they learn as they progress through the course rather than learning individual topics in isolation. Hurlburt's approach not only motivates students, but instills in them a true conceptual understanding of what's going on behind the mechanical calculations of statistical procedures. This new edition retains those elements that make the text so noteworthy, while it incorporates more "traditional" content and computer exercises that can be worked with standard statistical packages such as SPSS, SAS, or Minitab. Responding to the comments of users, Hurlburt has modified his presentation of the eyeball-estimation techniques -- emphasizing them in the descriptive statistics sections, but de-emphasizing them in the inferential statistics sections.
While this book provides the same material found in most introductory statistics texts, it goes beyond the standard by teaching students how to estimate statistics before computations are performed. The ESTAT software helps students build this skill by allowing them to learn to make accurate eyeball-estimates before ever touching a calculator. These estimation techniques are provided for both descriptive and inferential statistics. The ESTAT software is optional with the text, students can learn estimation from information in the book alone if you so choose.
This Windows version of the easiest-to-use estimation program available gives students practice in estimating statistics using Russell Hurlburt's eyeball estimation techniques. For example, ESTAT presents a random series of histograms and asks the student to eyeball-estimate the mean and standard deviation of each; ESTAT presents a random series of scatter diagrams and asks the student to eyeball-estimate the correlation coefficient of each; and ESTAT presents a random series of scatter diagrams and asks the student to eyeball-estimate each best-fitting regression line.
Written by a highly experienced researcher and teachers, this book provides a much–needed guide to the proper use of Statistical Package for the Social Sciences (SPSS) software in social research, particularly where data may not be presented in the most convenient way. The book focuses on data manipulations and covers the majority of real–world use of SPSS use. Among the book′s many unique features are its ′syntax diary′ method for organization of manipulations and analyses. Offers both novices and intermediate users a framework within which they can safely and comfortably work with SPSS.
This field-leading introduction to statistics text for students in the behavioral and social sciences continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goals of STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition are to teach the methods of statistics and convey the basic principles of objectivity and logic that are essential for science -- and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through learning checks, examples, step-by-step demonstrations, and problems. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.