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Case 3.4 Pampers Develops a Rash crosstabs using SPSS

Read Case 3.4 Pampers Develops a Rash - A Rash Share of Market Share in your text (pages 688-689). Using SPSS and the SPSS data (Case3.4Pampers_Data.Sav), do the following:

Run a frequency for the dependent variable, brand preference, and show a bar graph. Write a one - two sentence summary of what it tells you.
Examine how the independent variables are related to brand preference by using Crosstabs and the appropriate statistic for association.
In order to make the crosstab tables more manageable and easier to interpret, you'll need to recode the variables. Recode brand preference as low, medium, and high under the formula low = 1 or 2, medium = 3, 4 and 5, and high = 6 or 7. Recode the independent variables under the formula low = 1, 2, 3; medium = 4, and high equals 5,6 7.
Run two-variable cross-tabulations of preference with each new independent variable.
Interpret the results

Attachments

Solution Preview

See the attached files. The revised data file, output file and the word file for results are attached. Thanks.

Frequencies
Frequency Table
Bar Chart
The frequency distribution for brand preference is almost uniform. The maximum brand frequency is for rating of brand preference of 5 at 49 and minimum frequency is for the rating of 2 at 38. Therefore, the distribution is quite uniform.

Crosstabs
The count per box is associated with brand preference as can be seen from the chi-square statistics. The p value is 0.000 indicating statistically significant association between the count per box and brand preference. As the count per box increases, the brand preference also increases.

The price charged is associated with brand preference as can be seen from the chi-square statistics. The p value is 0.000 indicating statistically significant ...

Solution Summary

The solution provides detailed data analysis for the Pampers case using SPSS output. The SPSS output is attached. The relevant charts and statistics copied to the word document and are interpreted to make sense from the output. The relevant analysis conducted and explained include frequency tables, bar chart, cross-tab analysis and chi-sqaure test.

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