Business Statistics

A.P. Verma | Category: MathematicsBook Details

ISBN: 9789386677952
YOP: 2019
Pages: 475

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Business Statistics for CA (Foundation-Revised syllabus 2018) CS, CMA (Foundation), MS8 and MS95 courses of IGNOU, BCA, MCA, BBM, MBA and B.Com and M.Com courses spread over in sixteen chapters – incompasses tailor-made topics for the above courses. The step-by-step analysis of mathematical problems with basic concepts – enables the students grasp the theory and practicals of statistical principles even without the aid of a teacher to pass examinations successfully with flying colours.

1. Quantitative Techniques Meaning, Scope & Limitations of Statistics Collection & Presentation of Statistical Data
2. Measure Of Central Tendency
3. Measures Of Dispersion, Skewness And Kurtosis
4. Correlation Analysis
5. Regression Analysis
6. Probability And Expected Value
7. Binomial Distribution
8. Poisson Distribution
9. Normal Distribution
10. Theory Of Sampling And Test Of Hypothesis
11. Chi-square Test
12. Fisher’s z-transformation, F-test And Analysis Of Variance
13. Time Series Analysis And Forecasting
14. Index Numbers
15. Linear Programming
16. Non-Parametric Tests
Appendix

Business Statistics for CA (Foundation-Revised syllabus 2018) CS, CMA (Foundation), MS8 and MS95 courses of IGNOU, BCA, MCA, BBM, MBA and B.Com and M.Com courses spread over in sixteen chapters – incompasses tailor-made topics for the above courses. The step-by-step analysis of mathematical problems with basic concepts – enables the students grasp the theory and practicals of statistical principles even without the aid of a teacher to pass examinations successfully with flying colours.

1. Quantitative Techniques Meaning, Scope & Limitations of Statistics Collection & Presentation of Statistical Data
2. Measure Of Central Tendency
3. Measures Of Dispersion, Skewness And Kurtosis
4. Correlation Analysis
5. Regression Analysis
6. Probability And Expected Value
7. Binomial Distribution
8. Poisson Distribution
9. Normal Distribution
10. Theory Of Sampling And Test Of Hypothesis
11. Chi-square Test
12. Fisher’s z-transformation, F-test And Analysis Of Variance
13. Time Series Analysis And Forecasting
14. Index Numbers
15. Linear Programming
16. Non-Parametric Tests
Appendix