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Basic Business Statistics: Concepts and Applications

Basic

沒有庫存
訂購需時10-14天
9780273753186
Berenson
華泰文化
2011年4月22日
413.00  元
HK$ 392.35  







叢書系列:商用統計
規格:平裝 / 912頁 / 普級 / 單色印刷 / 12版
出版地:台灣


商用統計


[ 尚未分類 ]









  New To This Edition

  1. Enhanced Statistical Coverage

  (1) DCOVA Framework: The use of the DCOVA (Define, Collect, Organize, Visualize, and Analyze) framework as an integrated approach for applying statistics to help solve business problems.

  (2) Many new applied examples and exercises, with data from The Wall Street Journal, USA Today, and other sources.

  (3) Using Statistics…Revisited:The new chapter-ending Using Statistics... Revisited sections reinforce the statistical methods and applications discussed in each chapter.

  (4) Managing Ashland MultiComm Services Integrated Case: Showing students how a business uses the statistical methods they’re learning, this new integrated case appears at the end of the chapters throughout the text (replacing the Springville Herald case).

  2. Provide a reference guide for using the programs: This edition contains revised, reorganized, and enhanced instructions for using Excel and Minitab in the new end-of-chapter guides and back-of-the book appendices.

作者簡介

Mark L Berenson
  現職:Montclair State University

David M. Levine
  現職:Baruch College, City University of New York

Timothy C. Krehbiel
  現職:Miami University, Ohio



Ch 1 Introduction
Ch 2 Organizing and Visualizing Data
Ch 3 Numerical Descriptive Measures
Ch 4 Basic Probability
Ch 5 Discrete Probability Distributions
Ch 6 The Normal Distribution and Other Continuous Distributions
Ch 7 Sampling and Sampling Distributions
Ch 8 Confidence Interval Estimation
Ch 9 Fundamentals of Hypothesis Testing: One-Sample Tests
Ch10 Two-Sample Tests
Ch11 Analysis of Variance
Ch12 Chi-Square Tests and Nonparametric Tests
Ch13 Simple Linear Regression
Ch14 Introduction to Multiple Regression
Ch15 Multiple Regression Model Building
Ch16 Time-Series Forecasting
Ch17 Statistical Applications in Quality Management
Ch18 A Road Map for Analyzing Data
Ch19 Decision Making(Online Chapter)




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