Statistics for Business and Economics, 10/e (Paperback)

Paul Newbold , William L. Carlson , Betty Thorne

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本書序言

NEW! Provide data from real agencies: New Problems and Data Sets. The eighth edition features a number of large data sets obtained from major research projects and other sources. These data sets are used in chapter examples, exercises, and case studies located at the end of analysis chapters.
●One of the largest data sets in this edition is the HEI Cost Data Variable Subset. This data file was obtained from a major nutrition-research project conducted at the Economic Research Service (ERS) of the U.S. Department of Agriculture.

NEW! Show the real-world context:
●New Case Studies. Several case studies are new to this editionfeaturing both large and small sample sizes. These cases provide students with the opportunity to extend their statistical understanding to the context of research and analysis conducted by professionals.
●Additional business examples have been added in the chapter-opener and throughout the chapter.

NEW! Cover a range of topic areas: New Coverage. Students need to be prepared with the statistical techniques that theyll use in business, which is why this edition features coverage on topics areas such as:
●Descriptive statistics
●Sampling
●Time Series
●And more!

本書特色

Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple canned applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.

The eighth edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.

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作者簡介

Paul Newbold - University of Nottingham
Bill Carlson - St. Olaf College
Betty M. Thorne - Stetson University

目錄大綱

Chapter 1: Describing Data: Graphical
Chapter 2: Describing Data: Numerical
Chapter 3: Probability
Chapter 4: Discrete Random Variables and Probability Distributions
Chapter 5: Continuous Random Variables and Probability Distributions
Chapter 6: Sampling and Sampling Distributions
Chapter 7: Estimation: Single Population
Chapter 8: Estimation: Additional Topics
Chapter 9: Hypothesis Testing: Single Population
Chapter 10: Hypothesis Testing: Additional Topics
Chapter 11: Simple Regression
Chapter 12: Multiple Regression
Chapter 13: Additional Topics in Regression Analysis
Chapter 14: Analysis of Categorical Data
Chapter 15: Analysis of Variance
Chapter 16: Time-Series Analysis and Forecasting
Chapter 17: Additional Topics in Sampling