Demonstrate how statistical methods are vital for today's managers and economists as you teach students how to apply these tools to real business problems with the 11th edition of Statistics for Management and Economics
This best-selling business and economic statistics text emphasizes applications over calculations using a unique three-step "ICI" approach to problem solving. Students IDENTIFY the correct statistical technique by focusing on the problem objective and data type; then COMPUTE the statistics (by hand, using ExcelŽ 2016, or using XLSTAT Excel add-in); and ultimately INTERPRET results in the context of the problem.
Readers examine functional areas of business as data-driven examples, more than 2400 exercises, and 32 cases demonstrate how marketing managers, financial analysts, accountants, and economists use statistical applications. Many exercises feature returns on 40 stocks. Students can download 1100 data sets, online appendixes and Data Analysis Plus from the book’s website.
Aplia FOR INTRODUCTORY BUSINESS STATISTICS HELPS STUDENTS STAY ON TOP OF COURSEWORK WITH REGULARLY SCHEDULED ASSIGNMENTS. Developed by teachers and used by more than 1,000,000 students, Aplia features interactive assignments that connect concepts to the real world. Auto-assigned, auto-graded homework holds students accountable for the material before they come to class. Immediate, detailed explanations for every answer enhance comprehension of foundational knowledge and statistical concepts. Gradebook Analytics allow you to monitor performance on a student-by-student basis.
EMPHASIS ON IDENTIFICATION AND INTERPRETATION PROVIDES STUDENTS WITH PRACTICAL SKILLS. With this book’s emphasis on applications rather than calculations, your student master and practice skills they can apply to real-world problems, whether you choose to use manual or computer calculations.
STUDENTS HAVE THE OPPORTUNITY TO CONVERT REAL DATA INTO INFORMATION. This book gives you flexibility, with the optional use of computer software, to teach your students how to work with larger data sets and more realistic exercises and examples....
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