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Statistical Computing using R (Skill Enhancement Course) [1]

Paper Code: 
24SSTT601
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This paper aims at teaching the students to solve the statistical problem using computer software and R language.

 

Course Outcomes: 

Course

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Course Code

Course Title

24SSTT401

Statistical Computing using R

(Practical)

CO 1: Identify and collect relevant data from various sources, including databases, surveys, and web scraping techniques. 

CO 2: Apply statistical tools to analyze data and address questions. 

CO 3: Interpret the results of statistical analyses accurately and effectively and develop the ability to draw meaningful conclusions.

CO 4: Demonstrate the ability to communicate statistical concepts, methodologies, and findings clearly and concisely both orally and in writing.

CO 5: Contribute effectively in course-specific interaction.

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,

Class Test,

Record,

Viva-voice

 

12.00
Unit I: 
Foundations of R

Introduction to R, R as a calculator, Methods of data inputs, data accessing or indexing, useful built-in function (length, max, mean, sort, diff, which, Summary).

 

12.00
Unit II: 
Visual Data Representation

Graphics with R, getting help, diagrammatic representation of data (Bar chart, Subdivided bar diagram, multiple bar diagram, Pie chart), Graphical representation of data: - Stem and leaf plot, Histogram: for grouped and ungrouped data, Rod or spike graph, frequency polygon.

 

12.00
Unit III: 
Central tendency measures

Preparation of frequency table, measures of central tendency: Mean, Median, Mode (for grouped and ungrouped data), Skewness, Kurtosis.

 

12.00
Unit IV: 
Dispersion

Quartiles, Deciles and percentiles, Box-plot, Measures of Dispersion: - Range, Inter-quartile range, Mean deviation, standard deviation, variance, Coefficient of variation. 

 

12.00
Unit V: 
Probability Fundamentals

Random experiment, random variable, discrete distribution: Binomial, continuous probability distribution: Normal

Essential Readings: 

·        Sudha, Sharad, Shailaja(2015): Statistics using R 

·        Robert L. Kabacoff: R in Action

·        Hadley Wickham and Garrett Gorlemund: R for Data Science 

 

SUGGESTED READINGS:

·        Rakshit, Sandip (2007): [2]R Programming for Beginners

·        Cotton, Richard (2016) Learning R: A Step-by-Step Function Guide to Data Analysis

·        Wickham, Hadley (2010): Elegant Graphics for Data Analysis (Use R!)

·        Shubhilall (2003): Structured Programming and computer graphics, University book house pvt

 

e-RESOURCES:

·        https://epgp.inflibnet.ac.in/ [3]

·        https://www.academia.edu/ [4]

·        https://www.slideshare.net/ [5]

 

JOURNALS:

·        Sankhya The Indian Journal of Statistics, Indian Statistical Institute

·        Aligarh Journal of Statistics, Department of Statistics and Operations Research, Aligarh Muslim University

·        Afrika Statistika, Saint-Louis Senega University

·        International Journal of Statistics and Reliability Engineering, Indian Association for Reliability and Statistic

·        Journal of the Indian Society for Probability and Statistics, Indian Society for Probability and Statistics

·        Journal of the Indian Statistical Association, Indian Statistical Association

·        Statistica, Department of Statistical Sciences Paolo Fortunato, University of Bologna

·        Statistics and Applications, Society of Statistics, Computer and Applications

·        Stochastic Modeling and Applications, MUK Publications and Distributions

 

Scheme of Evaluation for Continuous Assessment

Practical (30 %)

Time Duration: 60 minutes

Students are required to attempt 2 questions Out of 3 questions.

Experiment 1

Experiment 1

 Practical Record

Viva Voce

Attendance

Total

5

5

10

05

05

30

 

 

Scheme of Evaluation for Semester End Examination

Practical (70 %)

Time Duration: 3 hrs.

Students are required to attempt 3 questions Out of 5 questions.

Experiment 1

Experiment 2

Experiment 3

VIVA VOICE

TOTAL

20

20

20

10

70

 

 

Note: Scientific calculators are allowed in all papers of continuous assessment and semester end exam.

Academic Year: 
2024-2025 [6]

Follow Statistics on:

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Source URL: https://www.statistics.iisuniv.ac.in/courses/subjects/statistical-computing-using-r-skill-enhancement-course-0

Links:
[1] https://www.statistics.iisuniv.ac.in/courses/subjects/statistical-computing-using-r-skill-enhancement-course-0
[2] https://www.amazon.in/s/ref=dp_byline_sr_book_1?ie=UTF8&field-author=Sandip+Rakshit&search-alias=stripbooks
[3] https://epgp.inflibnet.ac.in/
[4] https://www.academia.edu/
[5] https://www.slideshare.net/
[6] https://www.statistics.iisuniv.ac.in/academic-year/2024-2025