Page 4 - DMGT209_QUANTITATIVE_TECHNIQUES_II
P. 4
SYLLABUS
Quantitative Techniques-II
Objectives: To familiarize the students with different statistical techniques useful in conducting business research and then
applying the same in their business strategies.
Sr. No. Description
1. Quantitative techniques for managers : quantitative decision making & its overview, An introduction to
research: meaning, definition and objectives, Goals, Strategy, Tactics, Internal and External Research
Suppliers, Research Method Concept, Constructs, Definitions, Variables, Propositions and Hypotheses
research process
2. Research problem: selection of problem, understanding problem, necessity of defined problem, Pilot
Testing, Data Collection, Analysis and Interpretation, Reporting the Results. Review of literature in research
3. Research design: meaning, types – descriptive, diagnostic, exploratory and experimental
4. Sources and methods of data collection: primary and secondary sources, data collection methods,
Questionnaire designing: construction, types, developing a good questionnaire, mailed questionnaire and
schedule
5. Sampling design and techniques, Scaling techniques: meaning and types, sampling distribution, Data
processing operations: editing, coding, classification, tabulation,
6. Partial Correlation: zero order, first order, second order
Multiple Correlation, coefficient of Multiple correlation
7. Multiple Regression and Correlation Analysis: Least square regression plane, linear Multiple regression
analysis, Coefficient of Multiple Determination
8. Hypothesis Testing: Statistical significance, the logic of hypothesis testing, statistical testing procedure, p-
values.
9. Test of significance: Types of tests, z-test, t-test, chi-square test, ANOVA
10. Factor Analysis, Cluster Analysis and Conjoint Analysis