Statistics for Management and Economics
This worldwide best-selling business statistics text emphasizes applications over calculation. STATISTICS FOR MANAGEMENT AND ECONOMICS, 9e, demonstrates how vital statistical methods are for today's managers and economists--and teaches students how to apply these tools to real business problems. Through the author's unique three-step ICI approach to problem solving, students learn to IDENTIFY the correct statistical technique by focusing on the problem objective and data type, then COMPUTE the statistics (doing them by hand, using Excel, or using MINITAB), and ultimately INTERPRET results in the context of the problem. This approach enhances student comprehension and skills while offering you maximum flexibility. Incorporating various functional areas of business, data-driven examples, exercises, and cases demonstrate statistical applications used by marketing managers, financial analysts, accountants, economists, and others, giving students the hands-on practice they need, while sound pedagogical elements make the material accessible to undergrads. In addition, unique teaching and learning resources such as CourseMate save time while giving you more control and better student outcomes.
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What people are saying - Write a review
I found this book confusing and ended up going online to understand how to implement the required statistical functions into Excel. My professor required this book, but even with the supplemental Student Solutions Manual, the author seems to have AD&D. I find myself reading a statement, following along, then the author will skip to another subject. The page breaks are also terribly edited and overall I would highly recommend youtube videos for further information regarding learning actual statistics.
WHAT IS STATISTICS?
GRAPHICAL DESCRIPTIVE TECHNIQUES I
GRAPHICAL DESCRIPTIVE TECHNIQUES II
NUMERICAL DESCRIPTIVE TECHNIQUES
DATA COLLECTION AND SAMPLING
RANDOM VARIABLES AND DISCRETE PROBABILITY DISTRIBUTIONS ...
CONTINUOUS PROBABILITY DISTRIBUTIONS ...
SIMPLE LINEAR REGRESSION AND CORRELATION ...
TIMESERIES ANALYSIS AND FORECASTING ...
STATISTICAL PROCESS CONTROL
INTRODUCTION TO ESTIMATION
INTRODUCTION TO HYPOTHESIS TESTING
INFERENCE ABOUT A POPULATION
INFERENCE ABOUT COMPARING TWO POPULATIONS ...
ANALYSIS OF VARIANCE