Data analysis for managers with Microsoft Excel

Author(s)

Bibliographic Information

Data analysis for managers with Microsoft Excel

S. Christian Albright, Wayne L. Winston, Christopher Zappe ; with case studies by Mark Broadie, Peter Kolesar

Thomson/Brooks/Cole, c2004

2nd ed

  • CD-ROM

Available at  / 5 libraries

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Note

Rev. ed. of Managerial statistics. 1st ed. 1990

CD-ROM includes latest version of Stat Pro and Decision Tools

Includes bibliographical references (p. 943-945) and index

Description and Table of Contents

Description

Presenting core statistical methods in a modern, unified spreadsheet-oriented approach, this text focuses on applications to business. It illustrates a variety of statistical methods to help students analyse data sets and uncover important information to aid decision-making.

Table of Contents

  • Introduction to Data Analysis for Managers. Part I Getting, Describing and Summarizing Data: Describing Data - Graphs and Tables
  • Describing Data - Summary Measures
  • Getting the Right Data. Part II Probability, Uncertainty and Decision Making: Probability and Probability Distributions
  • Normal, Binomial, Poisson and Exponential Distributions
  • Decision Making Under Uncertainty. Part III Statistical Inference: Sampling and Sampling Distributions
  • Confidence Interval Estimation
  • Hypothesis Testing. Part IV Regression, Forecasting and Time Series: Regression Analysis - Estimating Relationships
  • Regression Analysis - Statistical Inference
  • Time Series Analysis and Forecasting. Part V Other Statistical Tools: Analysis of Variance and Experimental Design
  • Data Mining Techniques: Discriminant Analysis, Logistic Regression and OLAP
  • Statistical Process Control. Appendix: Statistical Reporting.

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