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Title: Descriptive Statistics (Code-09050105)
B.Sc. (Hons), Semester-I


S. No.



Hours as per UGC


Introduction of Statistics, Basic knowledge of various types of data, Collection, classification and tabulation of data.

Must know


Presentation of data: histograms, frequency polygon, frequency curve and ogives. Stem- and- Leaf and Box plots.

Must know


Measures of Central Tendency and Location: Mean, median, mode, geometric mean, harmonic mean, partition values.

Must know


Measures of Dispersion: Absolute and relative measures of range, quartile deviation, mean deviation, Standard deviation ( ), coefficient of variation.

Must know


Moments, Skewness and Kurtosis: Moments about mean and about any point and derivation of their relationships, effect of change of origin and scale on moments, Sheppard’s correction for moments (without derivation), Charlier’s checks,

Must know


Concepts of Skewness and Kurtosis.

Nice to know


Theory of Attributes: Symbolic notation, dichotomy of data, class frequencies, order of class frequencies, consistency of data, independence and association of attributes, Yule’s coefficient of association and coefficient of colligation.

Must know


Correlation for Bivariate Data: Concept and types of correlation, Scatter diagram, Karl Pearson Coefficient (r) of correlation and rank correlation coefficient.

Nice to know

  • Books  Recommended:
  • 1 Goon, A.M., Gupta, M.K., and B. Das Gupta: Fundamentals of Statistics, Vol-I.
  • S.C. Gupta and V.K. Kapoor, Fundamentals of Mathematical Statistics, Sultan Chand & Sons, 2002.
  • Bernstein, S. & Bernstein, R. : Elements of Statistics, Schaum’s outline series, McGraw-Hill.
  • Robert V. Hogg, Joseph W. McKean and Allen T. Craig, Introduction to Mathematical Statistics, Pearson Education, Asia, 2007.
  • Irwin Miller and Marylees Miller, John E. Freund, Mathematical Statistics with Applications, 7th Ed., Pearson Education, Asia, 2006.
  • Sheldon Ross, Introduction to Probability Models, 9th Ed., Academic Press, Indian Reprint, 2007.