This paper is designed so that the student knows how to make and run program on program window and also solve statistical problems with statistical software R.
Students will be able to:
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-603 |
Practical |
CO 83: Deal the statistical data through R.
CO 84: Learn how to solve problems related to numeric and statistical data on R and C.
CO 85: Make statistics related problems program in C language .
CO 86: Deal with non existing and missing population values.
CO 87: Analyse the population and solve the numerical problems using various design of experiments. |
Approach in teaching: Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students: Assignments Seminar Presentation Subject based Activities
|
Software based Assignments Individual Presentation Class Test |
1) Analysis of Variance and Design of Experiments:
ii) One-Way and Two-Way classifications.
iii) C.R.D.
iv) R.B.D.
v) L.S.D
2) Missing Plot Technique for one missing observation in R.B.D. and L.S.D.
3) One project based on statistical analysis of primary/secondary data collected by students,
4) Practical based on different constructs of C- language, which may include problems of paper STT-601.
5) Practical based on different constructs of R, which may include problems of paper STT-601.
Note: Practical exercises will be conducted on computer by using Analysis Tool Pack.