Culture And Consumer Ethics By Data Analysis Chapter

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S. The method they used relied on strictly African-American consumers. This prompted them to exclude non-African-American consumers leaving them with 761 responses. Again on page 7 normal distribution was calculated in 3 steps. The first step involved using Muncy-Vitell questionnaire. The second step they measured culture following Hofstede's dimensions using Dorfman and Howell's scale. Lastly, the third step measured the demographics of the people who particpated in the survey.

Confidence intervals seen as ranges, page 5 shows the ranges for individualism which is zero, collective culture to 100, invidiualistic culture. The masculinity index ranges from zero for feminine cultures all the way to 100 for masculine cultures. Power index ranges from zero, culture with a small power distance to 100, culture with a large power distance.

For poisson page 8 or 208 of the article shows the means of high and low collectivism across the four dependent variables. This demonstrates that consumers who score high on the collectivism scale reject illegal, active, passive, and no harm activities more than consumers who score low on the same scale.Statistical analysis reveals significant differences in ethics of consumers who score high/low on the masculinity scale. Means of high and low masculinity across the four dependent variables illustrate that consumers who score low on the masculinity scale...

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In this case it is 60% of the sample being female. Two ANOVA analysees for both females and males was developed then compared to th traditional findings of the study. The study reveals female and male consumers who score high on the collectivism scale reject active, passive, and no harm activities more so than females and males who manage to score low.
Exponential distribution is a process in which events occur continuously and independently at a constant average rate. It is the continuous analogue of thegeometric distribution. The article provides an example of this when discussing the independent variables. These variables are: collectivism, masculinity, power distance, and uncertainty avoidance. The ANOVA for female and male consumers highlights this on page 209.

The study helped shed light on a lot of the questions asked throughout business when it petained to culture and understanding of culture. It helped to realize the differences and the calculations needed to see the differences in both female and male consumers as well as their respective connection to independent and dependent variables. The study illuminated the need to develop and formulate effective marketing strategies to keep consumerism active.

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