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1. UNIT I
2. Statistical Methods: Definition and scope of Statistics
3. concepts of statistical population and sample
4. Data: quantitative and qualitative, attributes, variables
5. scales of measurement- nominal, ordinal, interval and ratio
6. Presentation: tabular and graphical, including histogram and ogives
7. consistency and independence of data with special reference to attributes.
8. UNIT II
9. Measures of Central Tendency: mathematical and positional
10. Measures of Dispersion: range
11. Measures of Dispersion quartile deviation
12. Measures of Dispersion mean deviation
13. Measures of Dispersion standard deviation
14. Measures of Dispersion coefficient of variation
15. Measures of Dispersion Moments
16. Measures of Dispersion absolute moments
17. Measures of Dispersion factorial moments
18. Measures of Dispersion skewness and kurtosis
19. Measures of Dispersion Sheppard’s corrections.
20. UNIT III
21. Bivariate data: Definition, scatter diagram, simple
22. partial and multiple correlation (3 variables only), rank correlation
23. Simple linear regression
24. principle of least squares and fitting of polynomials and exponential curves.
25. UNIT IV
26. Index Numbers: Definition ,construction
27. problems for weighted and unweighted index numbers including Laspeyre’s, Paasche’s, Edgeworth-Marshall and Fisher’s
28. Chain index numbers
29. conversion of fixed based to chain based index numbers and vice-versa
30. Consumer price index numbers.
31. lactic acid bacteria
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