Business Statistics : A First Course, 3rd Edition by David M. Levine Mark L. Berenson Timothy C. Krehbiel List price = $110.00 (USA print price) Our Price = $32.50 You Save = $77.50 (70.45%) Product Details: Media: Paperback. Publisher: Published in India by Pearson Education; 3rd edition. ISBN: 8129704102 Availability: Usually ships within 1 business day. About the Book Written for those who teach a one-term course or prefer a briefer book. This text covers the concepts and applications of statistics used in the functional areas of business - accounting, marketing, management, economics, and finance. With a strong emphasis on interpretation of output rather than on statistical methods and calculations, it shows students how to properly use statistics to analyze data, demonstrates how computer software is an integral part of this analysis, and provides many exercises, cases and projects to support the learning process. Features NEW - Updated and improved “Using Statistics” business scenarios. Each chapter begins with a “Using Statistics” scenario and it is often revisited throughout the chapter to reinforce the concepts with an applied example. NEW - Emphasis on data analysis and interpretation of computer output. NEW - Hundreds of new applied examples and exercises with data from the Wall Street Journal, USA Today, and other sources have been added. Student CD—Contains PHStat 2, data files in Excel, Minitab, and SPSS, and Visual Explorations exercises. NEW - Visual Explorations exercises now available on accompanying free CD-ROM. NEW - Using Microsoft Office feature has been added. NEW - Report Writing exercises are now included. NEW - Internet Exercises, located on the text Companion Website (www.prenhall.com/levine), have been added. NEW - Case Studies and Team Projects have been added. Contents Introduction and Data Collection. Presenting Data in Tables and Charts. Numerical Descriptive Measures. Basic Probability. Probability Distributions. Sampling Distributions and Confidence Intervals. Fundamentals of Hypothesis Testing: One-Sample Tests. Hypothesis Tests for Numerical Data from Two or More Samples. Hypothesis Tests for Categorical Data From Two or More Samples. Simple Linear Regression. Multiple Regression Analysis. Time Series Forecasting. Statistical Applications in Quality and Productivity Management.