Marketing Research 1st Edition Naval Bajpai - Solutions

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Explain the role of advertising, sales promotion and public relations in promotional research.
Explain the role of distributors, wholesalers and retailers as an integral part of the distribution channel.
Write short notes on:• Direct selling• Direct marketing• Company owned or sponsored special retail outlets• Internet marketing
What is skimming pricing, penetration pricing and value-in-use pricing? How is it used in decisions regarding new product pricing?
What is competitive pricing, pricing in economic and regulatory environment, exchange rate pricing and geographical pricing?
What are demand pricing, benefit pricing, value pricing and place pricing?
Write a note on the life cycle of a product, product portfolio, product line and segmentation and positioning with reference to pricing.
What are organizational factors, customer factors and market factors in making sound pricing strategies?
Write a short note on commercialization and postlaunch status of new-product development.
Explain the role of concept development and concept testing in new-product development.
Write a short note on revenue and cost analysis of new-product development.
What is lead-user analysis and benefit-structure analysis?
What are the stages involved in new product development?
What is new product development research?
Write a short note on the evolution of various Ps in marketing.
How many Ps does the traditional marketing mix consist of ?
What do you understand by marketing mix?
What should be the ingredients of the appendix of the research report?
How should a researcher incorporate different types of charts and graphs in the research report?
What should be the components of the body part of the research report?
Why does a researcher have to incorporate an executive summary in the research report? Is there any significance in omitting the executive summary from the research report?
What is the appropriate way of presenting tables and graphs in the research report?
Why one should include the letter of transmittal and letter of authorization in the research report?
What are the important components of a good research report?
What is the importance of the research report for a researcher?
Explain the concept of autocorrelation and autoregression. How can the concept of autoregression be used in fore-casting?
What is the process of obtaining deseasonalized data from a time series? Also explain the method of obtaining de-seasonalized and detrended values.
Explain the regression method of forecasting with special reference to two methods: linear trend model and quadratic trend model.
Explain the concept and application of the double exponential smoothing method. Also explain the concept of double exponential smoothing using Holt’s method.
Explain the concept of freehand method, average method, and exponential smoothing method.
Describe the methods use to measure errors in forecasting.
Explain additive and multiplicative models of time series.
What are the various components of a time series?
Explain qualitative and quantitative methods of fore casting.
What are the various methods of forecasting?
What do you understand by correspondence analysis?Under what conditions a researcher should be applying correspondence analysis.
Write short note on following topics related to multidimensional scaling:(a) Spatial map or perceptual map(b) Stress, R2(squared correlation)(c) Similarity data(d) Preference data
What are the steps used in performing multidimensional scaling?
What is the conceptual framework of multidimensional scaling? Under what circumstances a researcher should apply multidimensional scaling.
Write short note on following topics related to cluster analysis:(a) Agglomeration schedule(b) Cluster membership(c) Icicle plot(d) Dendrogram(e) Euclidean distance(f) Linkage method(g) Variance methods and centroid method(h) Single linkage method(i) Complete linkage method(j) Average linkage
Explain the difference between hierarchical clustering technique and non-hierarchical clustering technique.What is the use and application of clustering technique in making managerial decisions.
What are the steps used in performing cluster analysis?
What is the conceptual framework of cluster analysis?Under what circumstances a researcher should apply cluster analysis.
Write short note on following topics related to factor analysis:(a) Estimation or analysis sample(b) Communality(c) Correlation matrix(d) Kaiser-Mayer-Olkin measure of sampling adequacy(e) Bartlett’s test of sphericity(f) Eigenvalue, % of variance(g) Scree plot, factor loadings(h) Factor matrix
What are the steps used in performing factor analysis?
What is the conceptual framework of factor analysis?Under what circumstances a researcher should apply factor analysis.
What is part-worth or utility function in conjoint analysis?
Explain the conceptual framework of conjoint analysis and its application in the field of marketing.
Write short notes on the following topics related to discriminant analysis.(a) Estimation or analysis sample(b) Hold-out or validation sample(c) Pooled within-group matrices(d) Eigenvalues(e) Wilks’ lambda table(f) Standardized canonical discriminant function coefficients(g) Structure matrix
Write the steps in conducting discriminant analysis.
What is the conceptual framework of discriminant analysis and under what circumstances can discriminant analysis be used for data analysis?
Explain the difference between multiple regression and discriminant analysis.
What is collinearity in multiple regression analysis?Explain variance inflationary factor (VIF) and its use in diagnosing collinearity in multiple regression analysis.
When does a researcher use the dummy variable technique in multiple regression analysis?
How can we test the significance of regression coefficients and the overall significance of the regression model?
Discuss the concept of adjusted coefficient of multiple determination (adjusted R2) and standard error in multiple regression?
Explain the use and importance of coefficient of multiple determination (R2) in interpreting the output of multiple regression.
Explain the concept of multiple regression and explain its importance in managerial decision making.
How can we use correlation coefficient (r) for determining the statistical significance of the relationship between two variables in a regression model?
How can we test the significance of the overall regression model?
How can we use the t test for determining the statistical significance of the slope of the regression line?
Explain the concept of coefficient of determination and standard error of the estimate in a regression model.
Explain the concept of regression sum of squares (SSR)and error sum of squares (SSE) in a regression model.
Regression analysis is an important tool for forecasting. Explain this statement.
What is the conceptual framework of simple linear regression and how can we use it for marketing decision making?
How can we use the c 2 test for population variance?
Explain the differences and similarities between c 2 test of independence and c 2 test of homogeneity.
What is the c 2 test of homogeneity and when do we use it?
Under what circumstances is the c 2 test of independence used?
Discuss the concept of contingency table.
What is the c 2 goodness-of-fit test and what are its applications in decision making?
Under what circumstances is the c 2 test used for decision making?
Explain the conceptual framework of c 2 test with respect to expected and observed frequencies.
What is the importance of c 2 distribution in decision making?
There is a significant difference between the quarterly sales of these companies?
The companies significantly differ in performance?
Explain the procedure of calculating SSC (sum of squares between columns), SSR (sum of squares between rows), SSI (sum of squares interaction), and SSE (sum of squares of errors).
What do you understand by factorial design? Explain the concept of interaction in a factorial design.
Explain the difference between completely randomized design and randomized block design.
Explain the procedure of calculating SSC (sum of squares between columns), SSR(sum of squares between rows), and SSE (sum of squares of errors) in a randomized block design.
Discuss the concept of randomized block design?Under what circumstances can we adopt randomized block design? Explain your answer in light of blocking variable and confounding variable.
Explain the procedure for calculating SSC (sum of squares between columns) and SSE (sum of squares within samples) in a completely randomized design.
What is the concept of completely randomized design and under what circumstances can we use completely randomized design for hypothesis testing?
What do you understand by ANOVA? What are the major assumptions of ANOVA?
Define the following terms:• Independent variable• Treatment variable• Classification variable• Experimental units• Dependent variable
Explain the concept of using experimental designs for hypothesis testing.
Explain the procedure of testing hypothesis for two population variances.
Explain the properties and importance of the F distribution.
Explain the procedure of testing hypothesis for the difference in two population proportions.
Which populations are called “related populations”?
Explain the procedure of testing hypothesis for the difference between the means of two related populations(matched samples).
How can we test hypothesis for the difference between two population means using the t statistic?
What is the procedure of using z formula for hypothesis testing for two populations?
Discuss the concept of hypothesis testing for two populations?
A company conducted a survey a few years ago and found out that 15% of its employees have two sources of income.The company wants to cross verify this finding since the data is old. For this purpose, the company takes a random sample of 300 employees and finds that 100 employees have two sources of
An electric bulb manufacturer claims that not more than 5% of its products are defective. For verifying this claim, a client takes a random sample of 200 bulbs and finds that 24 are defective. Test the hypothesis by taking 90% as the confidence level.
Suppose that in the last five years, the average price per 2 bedroom flat in the Vasant Kunj area of New Delhi has been estimated as 2,000,000. A real estate company wants to determine whether this data still holds good. The company takes a sample of 20 houses and finds that the average price is
For Problem 4, use the critical value approach to accept or reject the hypothesis.
Consider the following hypothesis:H0: m = 45 and H1: m ≠ 45 A sample of size 60 is taken, which produces a sample mean as 46.Population standard deviation is 5.Test this hypothesis on the basis of the p-value approach taking the level of significance as a = 0.01.
Use the p-value approach to accept or reject the hypothesis for Problem 2.

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Marketing Research 1st Edition Naval Bajpai - Solutions

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