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7th February 2017, 11:08 AM
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Join Date: Mar 2013
Re: Mcom Gujarat University

As you are looking for Gujarat University M.com program syllabus so here I am providing same for you :

M.Com. Semester 1
COM 404 – BUSINESS RESEARCH METHODS
Unit 1 : Introduction to Research
(25 %)
Meaning and types of research: Basic Research, Pure Research, Applied Research, Qualitative v/s.
Quantitative Research. Modern scientific approach to research, research in business, research
process, Structuring a research proposal, Designing a research study, Characteristics of a good
research, Salient features of research project, Scope of a research study, Criteria for evaluation of a
research study.
Research Design: Sampling design, survey design, statistical design and operational design.
Unit 2 : Data Collection and Description
(25 %)
Data v/s. Information, Types of data: Primary data v/s secondary data, Time Series v/s. Cross
Sectional Data, Penal data. Sources of secondary data, Methods of Primary data collection, editing,
coding, identifying missing observations and outliers, classification and tabulation of data, Concept
of frequency distributions for a discrete and continuous random variable, Data representation, Bar
Charts, Pie Charts, Histograms and Ojives, Observational studies, Survey Method, Data Mining
Process, Population v/s. Sample Study, Features of a good sample, Determination of a sample size,
Sampling and Non-sampling errors,, Lipstein’s Nine rules for minimizing non-sampling errors,
Sampling frame, Sampling fraction. Probability Sampling Methods: SRSWR, SRSWOR, Systematic
Sampling, Proportionate and disproportionate Stratified Sampling, Cluster Sampling, Area Sampling,
Two-stage Sampling, Multi-stage Sampling, PPS Sampling, Sequential Sampling. Non-Pobability
Sampling Methods: Convenience Sampling, Purposive Sampling, Judgemental Sampling, Quota
Sampling, Snow-ball Sampling (Only theoretical discussion of the methods and their application to
practical situations), Pilot Survey, Stages in large scale sampling surveys.
Unit 3 : Techniques of Analysis of Univariate and Bivariate Data
(25 %)
Basic concept and applications of the measures of Central Tendency, Dispersion and Skewness,
Measures of Association for variables and attributes, Bivariate Correlation Analysis by Karl
Pearson’s Product Moment Method and Spearman’s Rank Correlation Method, Probable error,
Simple Linear Regression, Nonlinear Regression, Coefficient of determination and its interpretation,
Multiple Regression model, Standard error for Multiple Regression, Multiple Coefficient of
Determination and its interpretation.
Unit 4 : Statistical Inference and Tests of Hypothesis
(25 %)
Meaning of statistical inference, Parameter and Statistic, Concept of Point estimation and Interval
estimation, Standard error of a statistic, Testing of Hypothesis, Null and Alternative hypothesis,
Confidence level and level of significance, Critical Region, Type-I and Type-II errors, One tailed
and two tailed tests, Properties of Normal distribution and their applications in hypothesis testing,
Large sample Tests and Small sample tests for a single mean, single proportion, difference of two
means and proportions (including paired t-test for small samples), Chi square (ᵪ2) Test, F- Test,
ANOVA for one way and two way analysis

Gujarat University M.com program syllabus




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