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Description
| SESSION | JUL – AUG 2026 |
| PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
| SEMESTER | II |
| COURSE CODE & NAME | DMBA214 BUSINESS RESEARCH METHODS (R/PYTHON) |
Assignment Set 1
Q.1. Explain the different types of research used in business research. Discuss the major steps involved in formulating and conducting a research study. (5+5 = 10 Marks)
Ans 1.
Business research is a systematic investigation for getting information for business decisions. It assists organisations in the comprehension of issues, assessment of options and analysis of outcomes. Type of research depends on the purpose, available information and knowledge, etc. An appropriate research process is a research that is both feasible and moral in conjunction with a clear question.
Exploratory and Descriptive
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Q.2. Explain the different methods of data collection used in business research. Differentiate between primary and secondary data and discuss their major advantages and limitations. (5+5 = 10 Marks)
Ans 2.
Business researchers gather data to know about the markets, employees, customers and the performance of the organisations. The specific method of collection will depend on the research question, necessary level of detail, resources, and access to the participants. Though both primary and secondary data are useful, they have different functions, different control, different costs and different limitations.
Surveys and
Q.3. What is Exploratory Data Analysis (EDA)? Explain the role of R in data visualization. Discuss how summary statistics and graphical techniques can be used to identify patterns and trends in business data. (5+5 = 10 Marks)
Ans 3.
Exploratory Data Analysis (EDA) is the process of examining the data prior to the formal modelling or hypothesis testing. It understands structure, identifies issues and creates appropriate questions through numerical summaries and visual displays. EDA can be used in business research to avoid making false conclusions due to the lack of information.
Purpose and Initial
Assignment Set 2
Q.4. Explain Simple Linear Regression and Multiple Linear Regression. Discuss the major assumptions and diagnostic measures that should be considered while conducting regression analysis using R. (5+5 = 10 Marks)
Ans 4.
Regression analysis is used to investigate the relationship between an outcome and one or more explanatory variables. It is used to predict and analyze business relationships. But for a useful interpretation, you need an appropriate model, appropriate data, and carry out checks for diagnosis. The functional relationship does not provide evidence of a cause and effect relationship.
Simple Linear Regression
Q.5. Explain the major components of a research report. Discuss the guidelines for interpreting and presenting statistical results, tables, graphs, and findings in a research report. (5+5 = 10 Marks)
Ans 5.
A research report is an organised way of presenting the purpose, method, evidence, and conclusions of a research study. It enables a reader to form an opinion on the nature of the investigation and its conclusions on the recommendations. So it’s not just a writing task at the end of research, but reporting is a part of research quality.
Preliminary Sections
The title page provides information on the study, researcher, institution, and submission details. An
Q.6. Explain the Chi-square test and discuss its applications in testing the independence of variables and the goodness of fit. (5+5 = 10 Marks)
Ans 6.
The Chi-square test is used to test whether the counts in the categories are different than the counts that would be expected under a specified hypothesis. It is a popular usage with categorical business data. Testing independence between variables and testing goodness of fit to a specified distribution are being tested in two applications. Both systematically compare observed and expected