Statistical Techniques for Research Methods (Generic Elective Course)

Paper Code: 
GSTT 301
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course would help the student to understand the use of both primary as well as secondary data and various techniques to collect the data, analyze the data and interpret the results thereafter.

Students will be able to:

Course

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

GSTT 301

Statistical Techniques for Research Methods

CO 1: select and define appropriate research problem and parameters

 

CO 2: Understand the basic concepts and principles of survey sampling, including population, sampling frame, sampling units, and sampling techniques.

 

CO 3: Demonstrate the use of exploratory and descriptive data analysis.

 

CO 4: Calculate and interpret the correlation between two variables and analyse the behavior of the data using discrete and continuous distributions

 

CO 5: Conduct hypothesis test on data and make interpretations accordingly

Approach in teaching:

 

Interactive Lectures,

Group Discussion,

Classroom Assignment

Problem Solving Sessions

 

 

 

Learning activities for the students:

 

Assignments

Seminar

Presentation

Subject based Activities

Classroom Quiz

Assignments

Class Test

Individual Presentation

 

 

 

12.00
Unit I: 
Introduction:

meaning, objection and motivation in research, types of research, research approach, significance of research. Research problems: Definition, selection and necessity of research problems, techniques in defining a research problem. Report writing: layout of a research report, characteristics of a good research report.

 

12.00

Survey methodology and data collection: introduction, inference and error in surveys, the target populations, sampling frames and coverage error, methods of data collection, nonresponse, questions and answers in surveys. Variables: Independent and dependent variables, qualitative and quantitative variables, discrete and continuous variables

 

12.00

Processing, Analysis and Interpretation of data: Graphical Representation, Measures of Location and dispersion.

 

12.00

Regression and Correlation: Least square method of fitting a regression line, correlation coefficient (Karl Pearson and Rank).

 

12.00

Procedure of testing of Hypothesis, applications of sampling distributions: chi- square, t and f test. one way and two-way ANOVA.

 

Essential Readings: 
  • Agrawal, B.L.(2013): Basic statistics, New Delhi: New Age publishers.
  • Ahuja Ram(2006): Research Methods, Jaipur: Rawat Publication.
  • Kothari, C.R.(1989): Research Methodology: Methods and Techniques, Bangalore, Wiley Eastern.

 

References: 
  • Rosander, A.C.(1965): Elements of Probability and Principles of Statistics, Calcutta: East West Press.
  • Bose, Pradip Kumar(1995): Research Methodology, New Delhi.
  • Burns, Robert B.(2000): Introduction to Research Methods, New Delhi; Sage Publications.
  • Sarvavanavel, P.(2003): Research Methodology, Allahabad; Kitab Mahal.
  • Shanlla K.R.(2002): Research Methodology, New Delhi: National Publishing House.
  • Gardener, M (2012) Beginning R: The Statistical Programming Language, Wiley Publications.
  • Braun W J, Murdoch D J (2007): A First Course in Statistical Programming with R, Cambridge University Press. New York
  • Rakshit, Sandip(2007):R Programming for Beginners, Scarborough J.B

 

Academic Year: 
2023-2024
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