Coming soon
Practical
This paper is designed so that the student know how to make and run program on program window and also solve statistical problems with statistical software R.
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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-603 |
Practical |
CO 66: Deal the statistical data through R.
CO 67: Able to learn how to solve problems related to numeric and statistical data on R and C.
CO 68: Ability to make statistics related problems program in C language .
CO 69: Able to deal with non existing and missing population values.
CO 70: Able to 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
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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.
