Statistical methods / By S P Gupta.
Material type:
- 9789351611769
- 1 519.5 GUPS
Item type | Current library | Collection | Call number | Status | Barcode | |
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St Aloysius Institute of Management & Information Technology Mathematics & Statistics | MBA | 519.5 GUPS (Browse shelf(Opens below)) | Available | MBA15187 | |
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St Aloysius Institute of Management & Information Technology Mathematics & Statistics | MBA | 519.5 GUPS (Browse shelf(Opens below)) | Available | MBA15188 |
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519.5 GUPS Fundamentals of mathematical statistics / | 519.5 GUPS Fundamentals of mathematical statistics / | 519.5 GUPS Statistical methods / | 519.5 GUPS Statistical methods / | 519.5 KELG Statistics : for management and economics / | 519.5 KELG Statistics : for management and economics / | 519.5068 LIND Statistical techniques in business and economics / |
Salient Features
The book has been written in a very simple and lucid style. The text material is self-explanatory and even the students learning statistics through distance education can follow it without much stress and strain.
The treatment is non-mathematical in character and the readers can easily understand the text material without much taxing their minds.
Besides good theory the book contains a large number of solved illustrations (to be exact, 885). These illustrations have been very carefully selected mainly from the latest examination question papers of various Universities all over India and neighbouring countries.
This book is primarily meant to cater to the needs of under-graduate and post-graduate students of Commerce, Economics, Management and Professional Courses.
The author of the book, Dr. S.P. Gupta speaks briefly about the book.
Contents :
Statistics – What and Why
Organising A Statistical Survey
Collection of Data
Sampling and Sample Designs
Classification and Tabulation of Data
Diagrammatic and Graphic Presentation
Measures of Central Value
Measures of Dispersion
Skewness, moments & Kurtosis
Correlation Analysis
Regression Analysis
Association of Attributes
Index Numbers
Analysis of Time Series
Interpolation and Extrapolation
Vital Statistics
Statistical Fallacies
Probability and Expected Value
Theoretical Distributions
Statistical Inference – Test of Hypothesis
x2 test and Goodness of Fit
F-Test and Analysis of Variance
Experimental Designs
Statistical Quality Control
Business Forecasting
Partial and Multiple Correlation
Statistical Decision Theory
Non-Parametric Tests
Revisionary Exercises
Appendices.
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