23UMATE45 Mathematical Statistics Practical Using R – Programming Syllabus:

23UMATE45 Mathematical Statistics Practical Using R – Programming Syllabus – Annamalai University UG Syllabus Regulation 2023-24

Objectives of the Course

After taking the course, students will be able to

• Use R for statistical programming, computation, graphics and modelling
• Write functions and use R in an efficient way
• Fit some basic types of statistical models

List of exercise

Using R Programming develop the programmes in the following topics:

• Plotting Bar chart and scatter plot
• Plotting histogram and pie chart
• Graphics for grouped data
• Graphical display of distributions
• Measures of central tendency -Mean, median, mode
• Measures of Dispersion- std. deviation, mean deviation
• Regression and correlation. Linear models.
• Large sample tests
• Small sample test t- tests
• Small sample test F-tests
• Small sample test Chi-square tests
• ANOVA (one way)
• ANOVA (Two way)

Reference Books

• Alain F. Zuur, Elena N. Ieno, Erik H.W.G. Meesters Beginner’s Guide to R – Springer, 2009.
• Allerhand M. Tiny Handbook of R – Springer Briefs in Statistics, 2011
• Baayen R. Analyzing Linguistic Data – A Practical Introduction to Statistics using R, 2008.
• Gardener M. Beginning R – The Statistical Programming Language, 2012.
• Jim Albert, Maria Rizzo R by Example, 2012.
• Matloff  N. Art of R Programming – A Tour of Statistical Software Design, 2011.