Basic business statistics : concepts and applications / Mark L. Berenson, David M. Levine, Kathryn A. Szabat, David F. Stephan.

Includes index.

Defining and collecting data -- Organizing and visualizing variables -- Numerical descriptive measures -- Basic probability -- Discrete probability distributions -- The normal distribution and other continuous distributions -- Sampling distributions -- Confidence interval estimation -- Fundamentals of hypothesis testing : one-sample tests -- Two-sample tests -- Analysis of variance -- Chi-square and nonparametric tests -- Simple linear regression -- Introduction to multiple regression -- Multiple regression model building -- Time-series forecasting -- Business analytics -- Getting ready to analyze data in the future -- Appendices -- Self-test solutions and answers to selected even-numbered problems -- Index -- Credits.

This title helps students see the essential role that statistics will play in their future careers by using examples drawn from all functional areas of real-world business. Guided by principles set forth by ASA's Guidelines for Assessment and Instruction (GAISE) reports and the authors' diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. This edition includes new and updated resources and tools to enhance students' understanding, and provides the best framework for learning statistical concepts.

For one- or-two-semester courses in business statistics. Give students the statistical foundation to hone their analysis skills for real-world decisions Basic Business Statistics helps students see the essential role that statistics will play in their future careers by using examples drawn from all functional areas of real-world business. Guided by principles set forth by ASA's Guidelines for Assessment and Instruction (GAISE) reports and the authors' diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. The 14th Edition includes.

As business statistics evolves and becomes an increasingly important part of ones business education, how business statistics gets taught and what gets taught becomes all the more important. We, the authors, think about these issues as we seek ways to continuously improve the teaching of business statistics. We actively participate in Decision Sciences Institute (DSI), American Statistical Association (ASA), and Data, Analytics, and Statistics Instruction and Business (DASI) conferences. We use the ASAs Guidelines for Assessment and Instruction (GAISE) reports and combine them with our experiences teaching business statistics to a diverse student body at several universities.