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.
See the attached file for complete solution. The text here may not be copied exactly as some of the symbols / tables may not print. Thanks
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.
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 ...
The solution provides detailed data analysis for the Pampers case using SPSS output. The relevant charts and statistics are 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.