Basic Statistics for Business and Economics by
This title covers the essential topics of statistical tools and methods. The concepts are illustrated with solved applied examples. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content rather than technology or programming methods.
Statistical Reasoning for Everyday Life by
This resource is intended for use in the statistical literacy course or an introductory statistics course that emphasizes concepts over computation. The aim is to give students a conceptual understanding of statistics and develop their statistical reasoning skills.
Statistical Techniques in Business and Economics by 
Elementary Statistics by
ELEMENTARY STATISTICS, Eighth Edition offers comprehensive coverage of elementary statistics in a language that speaks to today's students. This text goes beyond formulas, offering 'real-world' data and examples that present statistics as a useful tool in real-world applications, e.g. physical and social sciences, business, and engineering. The authors promote the learning of statistics in a context that relates to personal experience. ELEMENTARY STATISTICS features modern ideas by integrating the use of computer output and instruction for every exercise.
Statistics for People Who (Think They) Hate Statistics by
Derived from his bestselling text Statistics for People Who (Think They) Hate Statistics, author Neil J. Salkind presents readers with The Excel Edition! Using the same personable and clear style that made previous editions so successful, this new edition teaches students how they can use Excel to learn the basics of statistics. This is not a text on how to use Excel, rather it illustrates how this program can make the statistics learning experience a better one. Key Features: ′′′′Applies Excel to statistical techniques: Introductory chapters present Excel as an accessible tool for statistical analyses. Students are shown how to install the free Excel Analysis ToolPak to earn access to a host of new and very useful analytical techniques such as ANOVA, Correlation, Covariance, Moving Averages, Regression, and more. In addition, other Excel formulae illustrate reliability, goodness-of-fit, and Chi-square. ′′Offers an unhurried pace and thorough presentation: Using a non-intimidating, user-friendly style, this book walks students through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. Real-world examples from a variety of settings illustrate the utility of statistics and reinforce concepts introduced. ′′Provides valuable teaching tools: Pedagogical features help present an often intimidating and difficult subject in a way that is informative, engaging, and clear. These tools include icons, tip boxes, further readings, a glossary, the famous ′Difficulty Rating Scale′ and ′Top Ten′ lists, and much more! In addition, an extensive Excel functionality is located at the back of the book. Instructor′s Resources! Instructor Resources on CD are available to qualified adopters of The Excel Edition. These resources include sample syllabi, data sets, chapter overviews and objectives, chapter outlines, PowerPoint slides, discussion questions and class activities, additional resources, test items per chapter, and much more! Intended Audience: This is an excellent textbook for undergraduate and graduate students studying statistics in courses such as Introduction to Statistics, Statistics Using Excel, Data Analysis, and Research Methods. It is ideal for courses in which Excel is the primary statistical package discussed.
Interpreting Basic Statistics by
* Students get valuable practice in interpreting statistical reporting as it actually appears in journals. In each of the 62 exercises, your students will read a brief excerpt of statistical reporting from a published research article. * Each exercise begins with guidelines for interpreting the statistics in the excerpt. * The questions on the excerpts promote learning by requiring students to · interpret information in tables and figures, · perform simple calculations to further their interpretations, · critique data-reporting techniques, and · evaluate procedures used to collect data. * Each exercise covers a limited number of statistics, making it easy for you to coordinate the exercises with lectures and a main textbook. * The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The factual questions require careful reading for details, while the discussion questions show students that interpreting statistics is more than a mathematical exercise. These questions require them to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. * Thirteen new exercises interspersed throughout show how to interpret a greater array of statistical reporting.
The Library's Books are shelved according to the Library of Congress' classification system.
Want to browse the shelves?
The Library of Congress classification for Data and Statistics is Subclass HA (Social Sciences) section M (HA).
HA 1-4737 Statistics
HF 1016-1017 Business Statistics
QA 1-0939 Mathematics
QH 323.5 Biological Statistics
LB 2846 Educational Statistics
See also: Average, Census, Correlation (Statistics), Judicial Statistics,
Industrial Engineering--Statistical Methods, Political Statistics,
Standard Deviations, Vital Statistics, etc.
Credo Reference helps you start your research with background information from authoritative encyclopedias.
Reading LC Call Numbers
QA 278
.I53
2006