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Business Statistics for Competitive Advantage with Excel 2019 and JMP

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Cover of 'Business Statistics for Competitive Advantage with Excel 2019 and JMP'

Table of Contents

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    Book Overview
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    Chapter 1 Statistics for Decision Making and Competitive Advantage
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    Chapter 2 Describing Your Data
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    Chapter 3 Hypothesis Tests and Confidence Intervals to Infer Population Characteristics and Differences
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    Chapter 4 Simulation to Infer Future Performance Levels Given Assumptions
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    Chapter 5 Simple Regression
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    Chapter 6 Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression
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    Chapter 7 Indicator Variables
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    Chapter 8 Presenting Statistical Analysis Results to Management
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    Chapter 9 Nonlinear Regression Models
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    Chapter 10 Logit Regression for Bounded Dependent Variables
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    Chapter 11 Building Multiple Regression Models
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    Chapter 12 Model Building and Forecasting with Multicollinear Time Series
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    Chapter 13 Association Between Two Categorical Variables: Contingency Analysis with Chi Square
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    Chapter 14 Conjoint Analysis and Experimental Data
Attention for Chapter 2: Describing Your Data
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Chapter title
Describing Your Data
Chapter number 2
Book title
Business Statistics for Competitive Advantage with Excel 2019 and JMP
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-20374-0_2
Book ISBNs
978-3-03-020373-3, 978-3-03-020374-0
Authors

Cynthia Fraser

View on publisher site

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