Conceptual and applied, with emphasis on analyzing and interpreting Canadian data to make informed business decisions. The book draws students in using a conversational writing style and delivers content with a fresh, exciting approach that reflects the authors' blend of teaching, consulting, and entrepreneurial experiences. KEY TOPICS: Introduction to Statistics; Data; Surveys and Sampling; Displaying and Describing Categorical Data; Displaying and Describing Quantitative Data; Scatterplots, Association, and Correlation; Introduction to Linear Regression; Randomness and Probability; Random Variables and Probability Distributions; Sampling Distributions; Confidence Intervals for Proportions; Testing Hypotheses about Proportions; Confidence Intervals and Hypothesis Tests for Means; Comparing Two Means; Design of Experiments and Analysis of Variance (ANOVA); Inference for Counts: Chi-Square Tests; Nonparametric Methods; Inference for Regression; Understanding Regression Residuals; Multiple Regression; Building Multiple Regression Models; Time Series Analysis; Decision Making and Risk; Quality Control MARKET: Appropriate for the Intro to Business Statistics-One or Two Term course.

The fourth edition of Business Statistics builds upon the easy-to-understand, problem-solving approach that was the hallmark of the previous editions. Through detailed discussions on procedures that facilitate interpretation of data, this book enables readers to make more considered and informed business decisions. Using tools of application and practice in a variety of solved examples and practice problems, this book will sharpen the students’ understanding of basic statistical techniques. Business Statistics, 4e, serves as a core textbook for students of management, commerce and computer science studying business statistics for degrees in BBA/MBA/PGDBM, BCom /MCom, CA/ICWA, and BE/ BTech /MCA as well as for those preparing for professional and competitive examinations. Key Features • Learning Objectives clearly outline the learning outcomes of each chapter • Case Studies illustrate a variety of business situations and suggest solutions to managerial issues using specific statistical techniques • A Chapter Concepts Quiz at the end of each chapter reinforces students' understanding of the basic principles and applications • Conceptual Questions, Self-Practice Problems, Review Self-Practice Problems with Hint and Answers enable students, after each chapter, to practice and then evaluate themselves

Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.

Revised edition of the authors' Business statistics, [2015]

Business Statistics: A First Course, Second Canadian Edition, recognizes both the changing curriculum and the changing pedagogy for teaching introductory statistics. It focuses on application, streamlines and reorganizes topics, sheds unneeded theoretical details, and recognizes learning styles of the current generation of students, making it an attractive choice for one-semester Business Statistics courses at Canadian universities and colleges. KEY TOPICS: Statistics, Data, & Decisions;Displaying and Describing Categorical Data;Displaying and Describing Quantitative Data;Correlation and Linear Regression;Randomness and Probability;Random Variables and Probability Models;The Normal and Other Continuous Distributions;Surveys and Sampling;Sampling Distributions and Confidence Intervals for Proportions;Testing Hypothesis about Proportions;Confidence Intervals and Hypothesis Tests for Means;Comparing Two Groups;Inference for Counts: Chi-Square Tests;Inference for Regression;Multiple Regression;Statistical Modelling and the World of Business Statistics MARKET: Appropriate for Introduction to Business Statistics (Two Semester) Courses.

Statistics is written in clear, everyday language, without the equations that sometimes baffle non-mathematical readers. The goal is teaching students how to think about statistical issues.