B.Sc, Semester - 5 Statistics Practical Syllabus, (w.e.f 2021-2022, OU)


B.A/B.Sc. III Year V Semester (CBCS): Statistics Syllabus

Practical – 5(A) : Applied Statistics - I

[Credits 1 and 50 Marks]

Practical using R – Software and MS – Excel


R – Software : Overview of R, R data types and objects, reading and writing data, sub setting R

Objects, Essentials of the R Language, Running R, Packages in R, Variable names and

assignment, Operators, Integers, Factors, Logical operations. Operations of Scalars, Vectors,

Lists, Arrays, Matrices, Data Frames. Control structures, Functions.


1. Data Visualization using R - Frequency polygons and curves, Ogives, Histogram using R.

2. Data Visualization using R - Bar diagrams (simple, compound, percentage and multiple) and Pie

diagram (single and multiple) using R.

3. Computation of Descriptive Statistics using R (Measures of Central tendencies and Dispersion,

Moments, Skewness and Kurtosis) using R.

4. Computation of expected frequencies for Binomial, Poisson, Normal and Exponential

distributions using R.

5. Computation of Karl Pearson’s coefficient of correlation and rank correlation using R.

6. Computation of partial and multiple correlations using R.

7. Time series Analysis : Computation of Secular trend by least squares and moving averages

methods using R and MS-Excel.

8. Computation of Seasonal variations by Ratio to moving averages, Ratio to trend and Link

Relatives methods using R and MS-Excel.

9. Construction of control charts for variables ( x , R and  - charts) using R and MS – Excel.

10. Construction of control charts for attributes (p, np with fixed and varying sample size, C and u

charts) using R and MS – Excel.

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