Statistics for Business - Decision Making and Analysis (Loose-leaf)

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KEY BENEFIT: In the competitive world of business, effective decision making is crucial. To help your students stand out from the crowd, Robert Stine and Dean Foster of the Wharton School of the University of Pennsylvania have written an exciting new book for business statistics. This book teaches students how to use data to make informed decisions; every chapter highlights issues in the modern business world. The authors provide strong connections between the statistical concepts in the text and the problems students will face in their future careers, showing students how to find patterns, create statistical models from the data, and deliver their findings to an audience. Suitable for students at the undergraduate, graduate, or MBA level, Statistics for Business: Decision Making and Analysis equips students with the most important skill they'll need in the business world-using statistics to make better business decisions. KEY TOPICS: VARIATION IN DATA, Introduction, Data, Describing categorical data, Describing numerical data, Association in categorical data, Association in numerical data; PROBABILITY, Probability, Conditional Probability, Random Variables, Association between Random Variables, Probability models for Counts, Normality; INFERENCE, Samples and Surveys, Sampling Variation and Quality, Confidence Intervals, Hypothesis Tests, Alternative Approaches to Inference, Comparison; REGRESSION MODELS, Linear Patterns, Curved Patterns, Simple Regression, Regression Diagnostics, Multiple Regression, Building Regression Models, Categorical Explanatory Variables, Analysis of Variance, Time Series MARKET: For all readers interested in business statistics.

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Product Description

KEY BENEFIT: In the competitive world of business, effective decision making is crucial. To help your students stand out from the crowd, Robert Stine and Dean Foster of the Wharton School of the University of Pennsylvania have written an exciting new book for business statistics. This book teaches students how to use data to make informed decisions; every chapter highlights issues in the modern business world. The authors provide strong connections between the statistical concepts in the text and the problems students will face in their future careers, showing students how to find patterns, create statistical models from the data, and deliver their findings to an audience. Suitable for students at the undergraduate, graduate, or MBA level, Statistics for Business: Decision Making and Analysis equips students with the most important skill they'll need in the business world-using statistics to make better business decisions. KEY TOPICS: VARIATION IN DATA, Introduction, Data, Describing categorical data, Describing numerical data, Association in categorical data, Association in numerical data; PROBABILITY, Probability, Conditional Probability, Random Variables, Association between Random Variables, Probability models for Counts, Normality; INFERENCE, Samples and Surveys, Sampling Variation and Quality, Confidence Intervals, Hypothesis Tests, Alternative Approaches to Inference, Comparison; REGRESSION MODELS, Linear Patterns, Curved Patterns, Simple Regression, Regression Diagnostics, Multiple Regression, Building Regression Models, Categorical Explanatory Variables, Analysis of Variance, Time Series MARKET: For all readers interested in business statistics.

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Product Details

General

Imprint

Addison Wesley Longman Publishing Co

Country of origin

United States

Release date

2010

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2010

Authors

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Dimensions

274 x 211 x 28mm (L x W x T)

Format

Loose-leaf - Loose leaf, sheets & binder

Pages

864

ISBN-13

978-0-321-64090-1

Barcode

9780321640901

Categories

LSN

0-321-64090-X



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