MB0050–Research Methodology

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Summer-2013

Master of Business Administration- MBA Semester 1

MB0050–Research Methodology-4 Credits

(Book ID: B1700)

Assignment (60 Marks)

Note: Answer all questions (with 300 to 400 words each) must be written within 6-8 pages. Each Question carries 10 marks 6 X 10=60

Q1. Explain the process of problem identification with an example.

Answer. Problem Identification Process

Have you ever deployed your best team to resolve a problem and have the team execute flawlessly, only to find that the problem that was solved did not address the customer’s real need? This common scenario is often the source of widespread customer dissatisfaction and is all too prevalent in today’s nonprofit business environment where valuable resources are needlessly and inadvertently wasted because problems are not accurately identified.

Q2. Interview method involves a dialogue between the Interviewee and the Interviewer. Explain the interview method of data collection. What are the uses of this technique? What are the different types of interviews?

Answer. Interview Method of Data Collection

Interview is verbal questioning. In research, Lindzey Gardner has defined interview as “a two-person conversation, initiated by the interviewer for the specific purpose of obtaining research-relevant information and focused by him on the content specified by the research objectives of description and explanation”.

Q3. A study of different sampling methods is necessary because precision, accuracy, and efficiency of the sample results depend on the method employed for selecting the sample. Explain the different types of Probability and Non-Probability sampling designs.

Answer.  Probability Sampling

A probability sampling method is any method of sampling that utilizes some form of random selection. In order to have a random selection method, you must set up some process or procedure that assures that the different units in your population have equal probabilities of being chosen.

Q4. a. Differentiate between descriptive and inferential analysis of data.

b. Explain with examples various measures of Central Tendency.

Answer. A. Statistical procedures can be divided into two major categories: descriptive statistics and inferential statistics.

Descriptive Statistics

Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data. Descriptive statistics do not, however, allow us to make conclusions beyond the data we have analyzed or reach conclusions regarding any hypotheses we might have made. They are simply a way to describe our data.

Q5. The chi-square test is widely used in research. Discuss the various applications of chi-square test. Under what conditions is this test applicable?

Answer. Chi-square is a statistical test commonly used to compare observed data with data we would expect to obtain according to a specific hypothesis. For example, if, according to Mendel's laws, you expected 10 of 20 offspring from a cross to be male and the actual observed number was 8 males, then you might want to know about the "goodness to fit" between the observed and expected.

Q6.What is analysis of variance? What are the assumptions of the technique? Give a few examples where this technique could be used.

Answer. Analysis of Variance (ANOVA) is a collection of statistical models used to analyze the differences between group means and their associated procedures (such as "variation" among and between groups). In ANOVA setting, the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are equal, and therefore generalizes t-test to more than two groups. Doing multiple two-sample t-tests would result in an increased chance of committing a type I error. For this reason

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