IES Management College And Research Centre

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STATISTICS FOR MANAGEMENT ANAND SHARMA

By: Analytics: Show analyticsPublication details: HIMALAYA PUBLISHING HOUSE 2006 MUMBAIEdition: 2Description: 489 P. PAPERSubject(s): DDC classification:
  • 519.5
Contents:
Chapter 1 : Decisions Making And Human Involvement Chapter 2 : Data Analysis And Measure of Central Tendency Chapter 3 : Dispersion, Skewness and Kurtosis Chapter 4 : Correlation Analysis Chapter 5 : Regression Analysis Chapter 6 : Time Series Analysis and Forecasting Chapter 7 : Interpolation and Extrapolation Chapter 8 : Index numbers Chapter 9 : Decision Analysis Chapter 10 : Theory of Probability Chapter 11 : Probability Distributions Chapter 12 : Sampling Theory And Sampling Distributions Chapter 13 : Theory of Estimation And Testing of Hypothesis Chapter 14 : Statistical Quality Control Techniques Tables Annexure A Index Bibliography
Summary: Decision Making is a constant process as the life goes. At all times of the day, each living being makes the decision of one type or the other. Decision making cuts across the areas of utilisation. It is not required only for Business, but in all walks of life at all times. The art and science of collecting, analysing and using the information (can be called data) is utilised for identifying and solving life problems. The use of data for decision making is the body of statistical thinking. Business environment is becoming more and more competitive. Operating in this environment is very challenging and data has a very important role in meeting such a challenge. The author himself been a practicing manager and understands the rigorous of Business Decision. It is from this experience arose the need to put the data to use in the form of this book. The book has, therefore, been written in the most lucid, easy to understand language and the concepts have been amply clarified so as to make their use in daily business improvement exercises.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Book Book Main Library 519.5/SHA/19003 (Browse shelf(Opens below)) Available 11119003
Book Book Main Library 519.5/SHA/19001 (Browse shelf(Opens below)) Not For Loan 11119001
Book Book Main Library 519.5/SHA/19002 (Browse shelf(Opens below)) Available 11119002
Total holds: 0

Chapter 1 : Decisions Making And Human Involvement

Chapter 2 : Data Analysis And Measure of Central Tendency

Chapter 3 : Dispersion, Skewness and Kurtosis

Chapter 4 : Correlation Analysis

Chapter 5 : Regression Analysis

Chapter 6 : Time Series Analysis and Forecasting

Chapter 7 : Interpolation and Extrapolation

Chapter 8 : Index numbers

Chapter 9 : Decision Analysis

Chapter 10 : Theory of Probability

Chapter 11 : Probability Distributions

Chapter 12 : Sampling Theory And Sampling Distributions

Chapter 13 : Theory of Estimation And Testing of Hypothesis

Chapter 14 : Statistical Quality Control Techniques

Tables
Annexure A
Index
Bibliography

Decision Making is a constant process as the life goes. At all times of the day, each living being makes the decision of one type or the other. Decision making cuts across the areas of utilisation. It is not required only for Business, but in all walks of life at all times. The art and science of collecting, analysing and using the information (can be called data) is utilised for identifying and solving life problems. The use of data for decision making is the body of statistical thinking.

Business environment is becoming more and more competitive. Operating in this environment is very challenging and data has a very important role in meeting such a challenge. The author himself been a practicing manager and understands the rigorous of Business Decision. It is from this experience arose the need to put the data to use in the form of this book. The book has, therefore, been written in the most lucid, easy to understand language and the concepts have been amply clarified so as to make their use in daily business improvement exercises.

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