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Statistical techniques in business & economics with global data sets.

By: Lind, Douglas A.
Contributor(s): Marchal, William G | Wathen, Samuel Adam.
Material type: TextTextPublisher: New Delhi : Tata McGraw-Hill Irwin, c2008Edition: 13th ed.Description: xix, 860 p. : col. ill. ; 27 cm. +.ISBN: 9780071285759 (pbk.); 007128575X (pbk.); 9780071101516 (pbk.); 0071101519 (pbk.); 9780071286534 (Student CDROM with global data sets); 0071286535 (Student CDROM with global data sets).Subject(s): Commercial statistics | Economics -- Statistical methods | Commercial statistics -- Problems, exercises, etc | Economics -- Statistical methods -- Problems, exercises, etcDDC classification: 519.5 Online resources: WorldCat details
Contents:
Chapter 1: What Is Statistics? Chapter 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 3: Describing Data: Numerical Measures Chapter 4: Describing Data: Displaying and Exploring Data Chapter 5: A Survey of Probability Concepts Chapter 6: Discrete Probability Distributions Chapter 7: Continuous Probability Distributions Chapter 8: Sampling Methods and the Central Limit Theorem Chapter 9: Estimation and Confidence Intervals Chapter 10: One-Sample Tests of Hypothesis Chapter 11: Two-Sample Tests of Hypothesis Chapter 12: Analysis of Variance Chapter 13: Linear Regression and Correlation Chapter 14: Multiple Regressions and Correlation Analysis Chapter 15: Index Numbers Chapter 16: Time Series and Forecasting Chapter 17: Nonparametric Methods: Chi-Square Application Chapter 18: Nonparametric Methods: Analysis of Ranked Data Chapter 19: Statistical Process Control and Quality Management Chapter 20: An Introduction to Decision Theory MegaStat for Excel Visual Statistics 2.0 Appendixes Photo Credits Index Table of contents
Summary: Introduces modern computing applications (Excel, Minitab, and MegaStat). This text presents statistics concepts as applied in business as opposed to technology or programming methods. Aimed at students, it places emphasis on interpretation of data and results.
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Previous ed.: Boston, Mass. : McGraw-Hill/Irwin, 2005.

Chapter 1: What Is Statistics? Chapter 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 3: Describing Data: Numerical Measures Chapter 4: Describing Data: Displaying and Exploring Data Chapter 5: A Survey of Probability Concepts Chapter 6: Discrete Probability Distributions Chapter 7: Continuous Probability Distributions Chapter 8: Sampling Methods and the Central Limit Theorem Chapter 9: Estimation and Confidence Intervals Chapter 10: One-Sample Tests of Hypothesis Chapter 11: Two-Sample Tests of Hypothesis Chapter 12: Analysis of Variance Chapter 13: Linear Regression and Correlation Chapter 14: Multiple Regressions and Correlation Analysis Chapter 15: Index Numbers Chapter 16: Time Series and Forecasting Chapter 17: Nonparametric Methods: Chi-Square Application Chapter 18: Nonparametric Methods: Analysis of Ranked Data Chapter 19: Statistical Process Control and Quality Management Chapter 20: An Introduction to Decision Theory MegaStat for Excel Visual Statistics 2.0 Appendixes Photo Credits Index Table of contents

Introduces modern computing applications (Excel, Minitab, and MegaStat). This text presents statistics concepts as applied in business as opposed to technology or programming methods. Aimed at students, it places emphasis on interpretation of data and results.

Applied Statistics

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