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Marketing Research : An Applied Orientation 7th Global Edition Naresh K. Malhotra - Solutions
Analyze the outdoor lifestyle data given in Internet and Computer Exercises 2 of Chapter
The data file and the description of key variables can be downloaded from the Web site for this book.Do the three usage groups differ in terms of awareness, attitude, preference, intention, and loyalty toward Nike when these variables are considered simultaneously?
Analyze the Nike data given in Internet and Computer Exercises 1 of Chapter
Conduct a three-group stepwise discriminant analysis on the data given in Tables 18.2 and 18.3 using the SPSS, SAS, or MINITAB package. Compare the results to those given in Table 18.5 for three-group discriminant analysis.
Conduct a two-group discriminant analysis on the data given in Tables 18.2 and 18.3 using the SPSS, SAS, and MINITAB packages. Compare the output from all the packages. Discuss the similarities and differences.
Given the following information, calculate the discriminant score for each respondent. The value of the constant is 2.04.
A market researcher for an airline has been looking at whether there is a correlation between convenient flight times and price.The flight time convenience orientation was 0.80 and the corresponding figure for price was 0.65. The market researcher is inclined to believe that customers are more
How does the stepwise discriminant procedure differ from the direct method?
How do you develop the classification matrix from the validation sample?
Describe a common procedure for determining the validity of discriminant analysis.
How would you interpret discriminant weights?
Explain the concept of structure correlations.
What is a classification matrix?
Explain what is meant by an eigenvalue.
Define discriminant scores.
What is Wilks’ l? For what purpose is it used?
When formulating the discriminant problem, what conditions need to be placed on the criterion variable?
What are the steps involved in conducting discriminant analysis?
Describe the relationship of discriminant analysis to regression and ANOVA.
Why would a market researcher use an eigenvalue?
What are the objectives of discriminant analysis?
A major supermarket chain wants to determine the effect of promotion on relative competitiveness. Data were obtained from 15 states on the promotional expenses relative to a major competitor (competitor expenses 5 100) and on sales relative to this competitor (competitor sales 5 100).State
Demonstrate the equivalence of regression with dummy variables to one-way ANOVA.
Describe the cross-validation procedure. Describe the double cross-validation procedure.
What are some of the measures used to assess the relative importance of predictors in multiple regression?
What is multicollinearity? What problems can arise because of multicollinearity?
Explain the stepwise regression approach. What is its purpose?
Why are the approaches for determining the relative importance of predictor variables not satisfactory for marketing research?
State the null hypothesis in testing the significance of the overall multiple regression equation. How is this null hypothesis tested?
Explain the meaning of a partial regression coefficient. Why is it so called?
What is multiple regression? How is it different from bivariate regression?
What assumptions underlie bivariate regression?
What is meant by the sum of squared errors?
What is the standard error for predicting the mean value of Y for all cases for a given X?
How is the strength of association measured in bivariate regression? In multiple regression?
Explain the meaning of standardized regression coefficients.
What is the least-squares procedure?
What are the main uses of regression analysis?
What is a partial correlation coefficient?
What is the product moment correlation coefficient? Does a product moment correlation of 0 between two variables imply that the variables are not related to each other?
An experiment tested the effects of package design and shelf display on the likelihood of purchase of Special K cereal.Package design and shelf display were varied at two levels each, resulting in a 2 3 2 design. Purchase likelihood was measured on a 7-point scale. The results are partially
In a pilot study examining the effectiveness of three commercials(A, B, and C), 10 consumers were assigned to view each commercial and rate it on a 9-point Likert scale. The data obtained from the 30 respondents are shown in the table.Commercial Commercial A B C A B C 4 7 8 4 6 7 5 4 7 4 5 8 3 6 7
A marketing researcher wants to test the hypothesis that, in the population, there is no difference in the importance attached to shopping by consumers living in the northern, southern, eastern, and western United States. A study is conducted and analysis of variance is used to analyze the data.
After receiving some complaints from the readers, your campus newspaper decides to redesign its front page. Two new formats, B and C, were developed and tested against the current format, A. A total of 75 students were randomly selected and 25 students were randomly assigned to each of three format
What is multivariate analysis of variance? When is it appropriate?
Describe two tests used for examining differences in central tendencies in nonmetric ANOVA.
What are the differences between metric and nonmetric analyses of variance?
What is meant by repeated measures ANOVA? Describe the decomposition of variation in repeated measures ANOVA.
What is the most powerful test for making a posteriori contrasts?Which test is the most conservative?
What is an a posteriori contrast?
How is the relative importance of factors measured in a balanced design?
What is the difference between ordinal and disordinal interaction?
When do crossover effects occur in disordinal data?
ANCOVA requires at least one categorical independent variable(factor). What else does it need?
How is the total variation decomposed in n-way analysis of variance?
How does n-way analysis of variance differ from the one-way procedure?
What is the null hypothesis in one-way ANOVA? What basic statistic is used to test the null hypothesis in one-way ANOVA?How is this statistic computed?
What is total variation? How is it decomposed in a one-way analysis of variance?
What is the relationship between analysis of variance and the t test?
Discuss the similarities and differences between analysis of variance and analysis of covariance.
A major department store chain is having an end-of-season sale on refrigerators. The number of refrigerators sold during this sale at a sample of 10 stores was:80 110 0 40 70 80 100 50 80 30a. Is there evidence that an average of more than 50 refrigerators per store were sold during this sale? Use
The current advertising campaign for a major soft drink brand would be changed if less than 30 percent of the consumers like it.a. Formulate the null and alternative hypotheses.b. Discuss the Type I and Type II errors that could occur in hypothesis testing.c. Which statistical test would you use?
In each of the following situations, indicate the statistical analysis you would conduct and the appropriate test or test statistic that should be used.a. Consumer preferences for Dove bathing soap were obtained on an 11-point Likert scale. The same consumers were then shown a commercial about
Which nonparametric tests are the counterparts of the paired samples t test for parametric data?
Which nonparametric tests are the counterparts of the twoindependent-samples t test for parametric data?
What is the major difference between parametric and nonparametric tests?
Describe the general procedure for conducting a t test.
Present a classification of hypothesis-testing procedures.
Discuss the reasons for the frequent use of cross-tabulation.What are some of its limitations?
What is meant by a suppressed association? How is it revealed?
Define a spurious correlation.
What is the general rule for computing percentages in crosstabulation?
What is the major difference between cross-tabulation and frequency distributions?
What is a skewed distribution? What does it mean?
What does the distribution look like in a skewed frequency distribution curve?
What is meant by the coefficient of variation?
Define the interquartile range. What does it measure?
What measures of variability are usually computed?
Describe the procedure for computing frequencies.
Where do you get most of your photo processing done?Please check only one option.a. _________ Drugstoreb. _________ Minilabsc. _________ Camera storesd. _________ Discount/mass merchandisere. _________ Supermarketsf. _________ Mail order g. _________ Internet h. _________ Kiosk/other
If you were to buy a new digital camera, which of the following outlets would you visit? Please check as many as apply.a. _________ Drugstoreb. _________ Camera storec. _________ Discount/mass merchandiserd. _________ Electronics storee. _________ Internetf. _________ Other
Please rate the importance of the following features you would consider when shopping for a new digital camera.Not so Important Very Important Batteries 1 2 3 4 5 Automatic Mode 1 2 3 4 5 Aperture Control 1 2 3 4 5 LCD Screen 1 2 3 4 5
Part of a questionnaire used to determine consumer preferences for digital cameras follows. Set up a coding scheme for these three questions.
Travel abroad more than 8 times a year
Travel abroad 6 to 8 times a year
Travel abroad 3 to 5 times a year
Travel abroad 1 or 2 times a year
Do not travel abroad
Develop dummy variable coding schemes for the following variables.• Sex• Marital status consisting of the following four categories:never married, now married, divorced, other (separated, widowed, etc.)• Frequency of international travel, measured as:
Describe data preparation in mobile marketing research.
Explain the data-preparation process when conducting social media research.
What considerations are involved in selecting a data analysis strategy?
Which scale transformation procedure is most commonly used? Briefly describe this procedure.
Explain why scale transformations are made.
What are dummy variables? Why are such variables created?
Describe the weighting process. What are the reasons for weighting?
What kinds of statistical adjustments are sometimes made to the data?
What options are available for the treatment of missing data?
What kinds of consistency checks are made in cleaning the data?
What does transcribing the data involve?
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