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Statistical Programming with R and C
This paper aims at teaching the students to solve the statistical problem using computer software and C language.
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Course |
Learning outcomes (at course level |
Learning and teaching strategies |
Assessment Strategies
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Paper Code |
Paper Title |
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STT-601 |
Statistical Programming with R and C
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CO 65: Able to make the program in R and C.
CO 66: Apply programming concept to solve the statistical techniques.
CO 67: Understand the knowledge of statistical softwarefor further enhancement in career. |
Approach in teaching:
Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students:
Assignments Seminar Presentation Subject based Activities
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Classroom Quiz Assignments Class Test Individual Presentation |
Overview of C, Basic structures of c programs, sample c program, programming style, exe.a c program, data types, constants and variables, operators and expression, managing input and output operators.
Decision making and branching IF, IF ELSE, NESTED IF ELSE, IF ELSE ladder, SWITCH statement, ?: operator, GOTO statement, Decision making and looping: WHILE statement; DO statement, FOR statement, jumps in loops, Arrays: Introduction to arrays, single dimensional array and two dimensional arrays
Introduction of R: History, data types, operators, basic structure of R, Functions for reading, writing and loading and interpretation data. Import and export of data Plot a graph: histograms, frequency polygon, pie chart, ogives, scatter diagrams.
Control Structures: IF, IF ELSE,FOR, WHILE. Calculation of measure of central tendency and dispersion, correlation and lines of Regression. Random number generation and sampling procedures. Fitting of Population Distribution.
Basics of statistical inference in order to understand hypothesis testing and compute p-values and confidence intervals solution of applications of sampling distributions and Analysis of variance.
1. Gardener, M (2012) Beginning R: The Statistical Programming Language, Wiley
Publications.
2. Braun W J, Murdoch D J (2007): A First Course in Statistical Programming with R.
Cambridge University Press. New York
3 . Rakshit, Sandip(2007):R Programming for Beginners
1. Cotton, Richard(2016) Learning R: A Step-by-Step Function Guide to Data Analysis
2. Wickham, Hadley(2010): Elegant Graphics for Data Analysis (Use R!)
