Statistical techniques in business and economics
Material type:
TextPublication details: Chennai McGraw Hill Education (India) Pvt. Ltd. 2021 Edition: 17thDescription: xxv, 863 pISBN: 9789354600678Subject(s): Commercial statistics | Economics--Statistical methods | Social sciences--Statistical methodsDDC classification: 519.5 Summary: Overview
Statistical Techniques in Business and Economics provides readers with an introductory survey of descriptive and inferential statistics. The text is interspersed with examples and exercises focusing on business applications as well as on the current world around us. The book supports the development of basic data analytics skills. In keeping with recent trends, an entire section has been dedicated to Data Analytics. A variety of statistical software has been made available to complement the text.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
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Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 519.5 LIN (Browse shelf(Opens below)) | 1 | Available | 002563 |
1. What Is Statistics?
2. Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
3. Describing Data: Numerical Measures
4. Describing Data: Displaying and Exploring Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11. Two-Sample Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression Analysis
15. Nonparametric Methods: Nominal Level Hypothesis Tests
16. Nonparametric Methods: Analysis of Ordinal Data
17. Index Numbers
18. Time Series and Forecasting
19. Statistical Process Control and Quality Management
20. An Introduction to Decision Theory
Overview
Statistical Techniques in Business and Economics provides readers with an introductory survey of descriptive and inferential statistics. The text is interspersed with examples and exercises focusing on business applications as well as on the current world around us. The book supports the development of basic data analytics skills. In keeping with recent trends, an entire section has been dedicated to Data Analytics. A variety of statistical software has been made available to complement the text.
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