Course Outcomes (Cos):
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
On completion of this course, the students will be able to; CO161 Apply the process of research and select appropriate research design, formulating suitable research hypothesis to draw conclusion on research problem CO162 Utilize the different sampling techniques and scaling techniques CO163 Classify and tabulate data to interpret hypothesis CO164 Apply appropriate statistical parametric and non- parametric test to test the hypothesis CO165 Construct a comprehensive well-designed research report |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Practical cases Demonstration, Power point presentation. Learning activities for the students: Self learning assignments, Effective questions, Seminar presentation, Live practical problems analysis |
Class test, Semester end examinations, Quiz, Solving Numerical problems in tutorials, Assignments, Class Presentation
|
Meaning and definition of research, process of research, types of research
Research Design: Purpose of research, types of research design: Explorative, Descriptive and Explanatory, Cross-sectional and Longitudinal research studies.
Sampling Techniques: Census and Sampling methods, Probability and Non-Probability sampling techniques
Variables: Meaning, Types of Variables.
Hypothesis: Meaning, Types and criteria of construction of hypothesis.
Sampling Distribution and Standard Error
Element of Testing a Statistical Hypothesis- Formulation of the problem, Types of errors. Level of significance
Scaling Techniques: Purpose of Scaling Techniques, Types of scales: Nominal, Ordinal, Interval and Ratio Scales.
Data Collection Techniques: Primary and Secondary data collection techniques
Statistics: Meaning, Importance, Limitations, Classifications and Tabulation of data, discrete and continuous variables. Frequency Distributions and Cumulative frequency distribution
Parametric tests: large sample test for proportions, single mean and difference in two means. Small sample test- Application of Student’s t- test for small sample for single mean, difference in two means (independent and paired-t). ANOVA
Correlation and Regression Analysis
Non-parametric analysis: Chi-square test for population variance, Kruskal Wallis H Test, Mann Whitney U – test.
Report Writing: Format of research report, presentation (Tables, Charts, Diagrams, Labeling), footnote, endnote, bibliography, references.
The elements of research project
Kothari, C.R. (Second Edition), Research Methodology- Methods and Techniques, Wishwa Publication, New Delhi.
Luck, David J. and Rubin, Ronald S., Marketing Research, Prentice-Hall of India Private Ltd., New Delhi.
Levin, Richard I. and Rubin, David S., Statistics for Management, Prentice-Hall of India Private Ltd., New Delhi
REFERENCES:
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
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
E-RESOURCES:
https://repository.dinus.ac.id/docs/ajar/Kothari_-_Research_Methodology_...
https://www.researchreinforcement.com/
https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-4...
http://ww1.shodhganga.com/
https://shodhgangotri.inflibnet.ac.in/
REFERENCE JOURNALS:
Business Perspectives and Research
FIIB Business Review
Harvard Business Review
IUP Journal of Accounting Research
Jindal Journal of Business Research