STATISTICS & RESEARCH METHODOLOGY

Semester: II
Sub Code: MSM T 205
Credits: 4
Hours/Wk: 4
Total Hrs: 60
Exam Marks: 50
IA Marks: 50
Exam Duration: 3 Hrs

Objectives:
The objective of this course is to develop the research skills of students in investigating the research problems with a view to arrive at objective findings, interpretation of data and conclusions of their investigation in the form of systematic reports. They are also expected to learn basic statistical tools of analysis to sharper their research studies.

Unit 1:
Meaning and significance of Research in Management, Different Approaches to research – Scientific method and non scientific Methods, Types of research – Historical studies, case studies, survey and experimental studies, criteria for good research, the manager and researcher relationship.

Unit 2:
Formulation of research problem, Defining research problem, Generating research hypothesis, Research process, Research Design, Classification of research designs, Need for Research design, Features of good research design, Research proposal Sampling Techniques, Steps in sampling, Types of sample Design – probability and Non Probability sampling designs, size of sample, sampling errors, concept of Measurement and scaling, Scaling techniques, characteristics of sound measurement.

Unit 3: Sources of data;
primary vs. secondary data, sources of primary data – observation, Interview methods, survey method, questionnaire construction and design.

Unit 4: Processing of Research data;
Editing, coding, classification and Tabulation.

Unit 5: Hypothesis testing;
Null and alternate hypothesis, level of significance, one and two sample tests, Measures of central tendency, Measures of variation, Measures of Dispersion and skewness, Test of randomness, correlation and Regression analysis, ANOVA, Discriminate Analysis, cluster Analysis, Data Analysis by software packages.

Unit 6: Technical Report writing;
Types of reports objectives and function of report formal and informal, report writing process, target audience, pre-research