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 ofProbability (Additional Theorem and Multiplication Theorem), ConditionalProbability, 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.
- Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.
- 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
- Goon, Gupta and Das: Fundamentals of Statistics, Vol. I and II.
- Snedecor and Cochran, Statistical Methods, Oxford and IBH Publishers.
- Shukla,M.C. and Gulshan S.S., Statistics Theory and Practice, Sultan Chand and Sons, New Delhi.
- Gupta, S.P., Statistical Methods, Sultan Chand and Sons, New Delhi.
- Gupta, S.C. and Kapoor V.K., Fundamental of Mathematical Statistics, Sultan Chand and Sons, New Delhi
Note- The candidate shall be permitted to use battery operated pocket calculator that should not have more than 12 digits, 6 functions and 2 memories and should be noiseless and cordless.
