Business Statistics : A Decision-Making Approach / David F. Groebner, Patrick W. Shannon and Phillip C. Fry
By: Groebner, David F
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Contributor(s): Shannon, Patrick W | Fry, Phillip C.
Material type: 
TextPublisher: Boston, USA Pearson Education Inc. 2018Edition: 10th ed.Description: xxiv, 836p. : ill. ; 28cm.ISBN: 9780134496498.Subject(s): Commercial Statistics; Statistical DecisionDDC classification: 519.5 GRO Online resources: Click here to access online
| Item type | Current location | Collection | Call number | Status | Notes | Date due | Barcode |
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Reference Book
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VIT-AP General Stacks | Reference | 519.5 GRO (Browse shelf) | Not For Loan (Restricted Access) | MATH | 019495 |
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| 519.5 DOA Applied Statistics in Business and Economics / | 519.5 FRA Business Statistics for Competitive Advantage with Excel 2019 and JMP : | 519.5 GRO Business Statistics : A Decision Making Approach / | 519.5 GRO Business Statistics : | 519.5 GUP Statistical Methods / | 519.5 GUP Fundamentals of Applied Statistics | 519.5 GUP Fundamentals of Applied Statistics |
It includes Appendices, Answers, References, Glossary and index pages.
Gain an edge in today’s workplace by applying statistical analysis skills to real-world decision-making.
Business Statistics: A Decision Making Approach provides students with an introduction to business statistics and to the analysis skills and techniques needed to make successful real-world business decisions. Written for students of all mathematical skill levels, the authors present concepts in a systematic and ordered way, drawing from their own experience as educators and consultants. Rooted in the theme that data are the starting point, Business Statistics champions the need to use and understand different types of data and data sources to be effective decision makers. This new edition integrates Microsoft Excel throughout as a way to work with statistical concepts and give students a resource that can be used in both their academic and professional careers.
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Table of Contents
The Where, Why, and How of Data Collection
Graphs, Charts, and Tables–Describing Your Data
Describing Data Using Numerical Measures
Chapters 1-3 Special Review Section
Introduction to Probability
Discrete Probability Distributions
Introduction to Continuous Probability Distributions
Introduction to Sampling Distributions
Estimating Single Population Parameters
Introduction to Hypothesis Testing
Estimation and Hypothesis Testing for Two Population Parameters
Hypothesis Tests and Estimation for Population Variances
Analysis of Variance
Chapters 8-12 Special Review Section
Goodness-of-Fit Tests and Contingency Analysis
Introduction to Linear Regression and Correlation Analysis
Multiple Regression Analysis and Model Building
Analyzing and Forecasting Time-Series Data
Introduction to Nonparametric Statistics
Introducing Business Analytics
(Online Only) Introduction to Decision Analysis
(Online Only) Introduction to Quality and Statistical Process Control
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