JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

22MBA04: RESEARCH METHODOLOGY AND STATISTICAL ANALYSIS

MBA I Semester (R22)

Course Objectives:

To introduce the basic concepts of Research Methodology.
To impart knowledge on concepts and types of Research Design; Data and its Collection methods along with various tools used for Data Collection.
To demonstrate Tabulation and Graphical Representation of One, Two, Three-Dimensional Data; to introduce the concepts of Statistics and Small Sample Tests.
To highlight the significance of Statistical Tools for analysis and interpretation of Qualitative & Quantitative data
To introduce the concepts of Time Series and Index Numbers and train on writing Research Reports effectively.

Course Outcomes

Students will be able to:

Gain a conceptual overview of Research and the relevant concepts to Research.
Learn the different types of Research Designs, Data Collection Tools and Procedures.
Use different methods of representing data through Graphs and Tables; gain an overview of Statistics and relevant concepts and conduct Small Sample Tests.
Learn to solve mathematical problems related to ANOVA (One-way and Two-way), Correlation and Regression.
Learn the application of Time Series and Index Numbers; appreciate the need for preparing and presenting a structured Research Report.

UNIT - I: Introduction to Research

Meaning, Scope, Role of Business Research, Types of Research,

Research Process, Conceptualization of Variables and Measurement, Types and Measurement of Variables, Ethics in Business Research.

UNIT - II: Research Design

Research Problem, Purpose of Research Design, Types of Research

Design: Experimental Research Design, Research Design for Cross Sectional, Longitudinal Studies, Characteristics of Good Research Design, Sampling and its Applications. Data Collection Methods & Tools: Types of Data, Sources and Instruments for Data, Guidelines for Questionnaire, Sampling and its Application. Measurement and Scaling, Reliability and Validity in Measurement of Variables, Sources of Error in Measurement.

UNIT - III: a) Tabulation of Univariate, Bivariate and Multivariate Data, Data Classification and

Tabulation, Diagrammatic and Graphical Representation of Data. One-Dimensional, Two-Dimensional and Three-Dimensional Diagrams and Graphs. Introduction to Statistics, Measurement of Central Tendency and Dispersion. b) Small Sample Tests: t-Distribution, Properties and Applications, Testing for One and Two Means, Paired t-Test, Hypothesis Formulation and Testing.

UNIT - IV: a) Analysis of Variance

One-Way and Two-Way ANOVA (with and without Interaction)

Chi-Square Distribution: Test for a Specified Population Variance, Test for Goodness of fit, Test for Independence of Attributes. b) Correlation Analysis: Correlation, Limits for Coefficient of Correlation, Karl Pearson’s Coefficient of Correlation, Spearman’s Rank Correlation, Linear and Multiple Regression Analysis, Discriminant Analysis, Exploratory Factor Analysis.

UNIT - V: Time Series Analysis and Report Writing

Components, Models of Time Series, Additive, Multiplicative and Mixed Models, Trend Analysis: Free hand Curve, Semi Averages, Moving Averages, Least Square Methods. Index Numbers: Introduction, Characteristics and Uses of Index Numbers, Types of Index Numbers, Unweighted Price Indexes, Weighted Price Indexes, Tests of Adequacy and Consumer Price Indexes. Importance of Report writing, Types of Research Reports, Report Preparation and Presentation, Report Structure, Report Formulation, Guides for Effective Documentation, Research Briefings. Referencing Styles and Citation in Business Management Research.