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This particular Assignment references the syllabus chosen for the subject of Marketing Management, for the July 2023 - January 2024 session. The code for the assignment is MS-66 and it is often used by students who are enrolled in the MBA (MS) Degree.
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1. Indicate whether marketing research is relevant to each of the following organizations and if so, how each might benefit from it.
a) A Retail Shop
b) A BANK
2. What sort of marketing information can be collected with the help of a questionnaire? Explain the meaning of open-ended and closed-ended questions.
3. Describe in brief the importance of editing, coding, classification, tabulation and presentation of data in the context of research study.
4. Describe some marketing research problems that you feel may be amenable to conjoint analysis and explain how you would use conjoint analysis in these situations.
5. Suppose you are the marketing manager of a newly established electronic industry interested in manufacturing Televisions (TVs). How would you go about assessing the present demand for TVs in the country and the forecast for the next five years?
1. Explain the solomon-four group design. How far does this design succeed in controlling different extraneous variables? Illustrate your answer with the help of a suitable example from marketing.
2. Briefly explain the various probability and non-probability sampling methods with their merits and demerits.
3. With the help of examples, discuss the areas where qualitative research can be used in marketing.
4. Monthly salary of 32 employees of a firm is given below. Tabulate the data after selecting a suitable class interval.
2250 1800 1650 1760 3520 5600 2450 2680
2700 1680 3650 3240 5850 3150 1860 2425
4520 3275 4215 3760 1950 1850 3750 2825
4500 3800 4300 2750 4370 3350 2375 3215
5. A manufacturer of industrial supplies developed the following model for predicting the number of sales per month
Y = 41 + .3X1 + .05X2 - 7X3 + 10X4
where Y = Sales per month
X1= Number of manufacturing firms'
X2 = Number of wholesale and retail firms
X3 = Number of competing firms
X4 = Number of full-time company sales people.
i) Explain the correct interpretation of all estimated parameters in the equation.
ii) If R2 = 0.49, what does this figure mean, to you?
iii) Explain how you will go about testing the validity of this multiple linear regression equation
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