Statistics for business: decision making and analysis

By:

Stine, Robert E

Contributor(s):

Foster, Dean P

Material type: Text

TextPublication details: Pearson India Education Services Pvt. Ltd. New Delhi 2020Edition: 3rdDescription: xxii, 830 pISBN:

9789353940645

Subject(s):

DDC classification:

519.502465 STI

Summary: The 3rd Edition of Statistics for Business: Decision Making and Analysis emphasizes an application-based approach, in which students learn how to work with data to make decisions. In this contemporary presentation of business statistics, students learn how to approach business decisions through a 4M Analytics decision making strategy-motivation, method, mechanics and message-to better understand how a business context motivates the statistical process and how the results inform a course of action. Each chapter includes hints on using Excel, Minitab Express, and JMP for calculations, pointing the student in the right direction to get started with analysis of data.

List(s) this item appears in: Operation & quantitative Techniques | HR & OB

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	519.502465 STI (Browse shelf(Opens below))	1	Available		000992
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	519.502465 STI (Browse shelf(Opens below))	2	Available		000993

Table of Content
I. Variation

1. Introduction
2. Data
3. Describing Categorical Data
4. Describing Numerical Data
5. Association Between Categorical Variables
6. Association Between Quantitative Variables

II. Probability

7. Probability
8. Conditional Probability
9. Random Variables
10. Association Between Random Variables
11. Probability Models for Counts
12. The Normal Probability Model

III. Inference

13. Samples and Surveys
14. Sampling Variation and Quality
15. Confidence Intervals
16. Statistical Tests
17. Comparison
18. Inference for Counts

IV. Regression Models

19. Linear Patterns
20. Curved Patterns
21. The Simple Regression Model
22. Regression Diagnostics
23. Multiple Regression
24. Building Regression Models
25. Categorical Explanatory Variables
26. Analysis of Variance
27. Time Series

The 3rd Edition of Statistics for Business: Decision Making and Analysis emphasizes an application-based approach, in which students learn how to work with data to make decisions. In this contemporary presentation of business statistics, students learn how to approach business decisions through a 4M Analytics decision making strategy-motivation, method, mechanics and message-to better understand how a business context motivates the statistical process and how the results inform a course of action. Each chapter includes hints on using Excel, Minitab Express, and JMP for calculations, pointing the student in the right direction to get started with analysis of data.

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