Coming soon
Research Methodology-II
The course will enable students to -
- Understand the concept of measurement in empirical systems & its validity and reliability.
- Equip students on how to use statistical tools and techniques for analysis of research data. To understand the various applications of business research.
- Understand the types, tools and methods of research and develop the ability to analyze data gathered to draw precise and relevant conclusions and write it in the form of a Research report.
Course Outcomes (COs):
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Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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ATG / BSG / FSG 224 |
Research Methodology II (Theory) |
The students will be able to –
CO40:Be able to distinguish between a population and a sample CO41: Know how to conduct a statistical test of a hypothesis. CO42: Be able to evaluate the criteria that can be used to select an appropriate statistical test to answer a research question or hypothesis. CO43: To select an appropriate statistical test to answer a research question or hypothesis. CO44: Be able to distinguish between the writing structure used for a quantitative study and one used for a qualitative study. |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, assignments.
Learning activities for the students: Self learning assignments, Effective questions, Giving tasks |
Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Individual projects |
Concept of Permutation and Combinations
Probability: Basic Concepts, Importance of Concept of Probability, Theorem of Probability (Additional Theorem and Multiplication Theorem), Conditional Probability, Bayes’ Theorem, Mathematical Expectation
Probability Distribution: Binomial, Poisson’s and Normal.
Sampling: Meaning of census and sample. Characteristics of a good sample, Need for sample, Types of samples based on Probability and Non-Probability sampling. Probability Sampling- Idea of Simple Random Sampling, Stratified and Cluster sampling Non- Probability Sampling- Purposive and Quota sampling.
Sampling Distribution and Standard Error: Element of Testing a Statistical Hypothesis- Formulation of the problem, Types of Errors. Level of Significance
Analysis of Parametric Test: Test of Significance for Large and Small samples.
Analysis of Variance: Application of F-test. One-way and Two-way classification.
Analysis of Non -parametric Tests :
Chi-square Test: Chi-square test for population variance. Chi-Square Test (goodness of fit, independence of attributes using 2x2 and rxc contingency tables).
sign test, Wilcoxon signed rank test, Friedman test, Kruskal-Wallis test, Mann-Whitney test
Research Report Writing: Types and layouts of research reports, Steps in report writing, Essentials of a good report, Presentation, Footnote- Endnote, Bibliography, References.
1. Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.
2. Badarkar, P.L. and Wilkinson T.S. (2000), Methodology and Techniques of Social Research, Himalaya Publishing House, Mumbai
3 Business Statistics-Gupta, Goyal, Jain, Biyani, Gupta ( Ajmera Book Company)
4. Kothari, C.R.( Second Edition), Research Methodology- Methods and Techniques, Wishwa Publication, New Delhi.
5. Spiegel, Schiller and Srinivasan- Theory and Problems of Probability and Statistics-Tata McGraw Hill
1. Goon, Gupta and Das: Fundamentals of Statistics, Vol. I and II.
2. Snedecor and Cochran, Statistical Methods, Oxford and IBH Publishers.
3. Shukla, M.C. and Gulshan S.S., Statistics Theory and Practice, Sultan Chand and Sons, New Delhi.
4. Gupta, S.P., Statistical Methods, Sultan Chand and Sons, New Delhi.
5. Gupta, S.C. and Kapoor V.K., Fundamental of Mathematical Statistics, Sultan Chand and Sons, New Delhi
