Elementary Statistics 2005 Ed W Computer Application

Updated and expanded edition (first in 1989) of a textbook for either a one-semester or one-quarter course, providing a clear understanding of basic statistical techniques, with an emphasis on the application of those techniques to the analysis of data. Introductory high school algebra is a sufficient prerequisite. Annotation copyright by Book News, Inc., Portland, OR

Contains information on a variety of subjects within the field of education statistics, including the number of schools and colleges, enrollments, teachers, graduates, educational attainment, finances, Federal funds for education, libraries, international education, and research and development.

Statistical information on the whole range of American education is presented in this volume. Coverage ranges from kindergarten through graduate school, and is based upon data from both government and private sources. The main part of the book is composed of the following chapters: all levels of education, elementary and secondary education, federal programs for education and related activities, outcomes of education, international comparisons of education, and learning resources and technology. Supplemental sections on population trends, attitudes towards education, education characteristics of the labor force, government finances, and economic trends provide the background needed for evaluating education data.

Navidi/Monk, Elementary Statistics was developed around three central themes – Clarity, Quality, and Accuracy. These central themes were born out of extensive market research and feedback from statistics instructors across the country. The authors paid close attention to how material is presented to students, ensuring that the content in the text is very clear, concise, and digestible. High quality exercises, examples and integration of technology are important aspects of an Introductory Statistics text. The authors have provided robust exercise sets that range in difficulty. They have also focused keen attention to ensure that examples provide clear instruction to students. Technology is integrated throughout the text, providing students examples of how to use the TI-84 Plus Graphing Calculators, Microsoft Excel and Minitab. The accuracy of Elementary Statistics was a foundational principle always on the minds of the authors. While this certainly pertains to all aspects of the text, the authors also exhausted energy in ensuring the supplements have been developed to fit cohesively with the text.

The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability. Chapter exercises reinforce the text examples and may be performed for further practice, for homework assignments, or in computer laboratory sessions. This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text. The book provides hands-on experience with actual data sets, helps students choose appropriate statistical tests, illustrates the meaning of results, and provides exercises to be completed for further practice or as homework assignments. Instructions are provided for using the World Wide Web to obtain the data sets to be analyzed. With this guide, students learn how to conduct reasonably sophisticated statistical analyses using SPSS while gaining insight into the nature and purpose of statistical investigation. Susan B. Gerber, Ph.D. is Assistant Professor of Education at State University of New York at Buffalo. She is director of the Educational Technology program and holds degrees in Statistics and Educational Psychology. Kristin Voelkl Finn, Ph.D. is Assistant Professor of Education at Canisius College. She teaches graduate courses in research methodology and conducts research on adolescent problem behavior.