Marilyn vos Savant said “Be able to analyze statistics, which can be used to support or undercut almost any argument.” (vos Savant, n.d.). In this particular instance one hopes to show how statistics support an argument on survey results for the Springdale Shopping area. The survey contained eight areas that will be discussed concerning different aspects of Springdale shopping area and what the statistic show. Also, a deduction will made as to which was the most and the least important to shoppers.
Ease of Return/Exchange Goods In the category of ease of returning or exchanging goods, the mean was 4.913, a mode of 7, a range of 6, and a standard deviation of 2.066. The mean for the category fell in the middle of all the other categories and …show more content…
This category had the highest mean and fairly low standard deviations compared to the other categories, telling us that the data is fairly disperse. No significant information was gleaned from the range. A mode of 7 let us know more consumers felt this is a high priority when shopping. With only eight 1s and the rest mostly 7 the ones in this case could be considered outliers as there were not many 2 eithers. The 1s are affecting the mean as the …show more content…
The higher the standard deviation the less disperse the data is found to be. Ease of return/exchange had the highest standard deviation coming in at 2.066. No obvious outliers in the results were found to sway the thought process that this was not the most important attribute to consumers. Meanwhile, observations lead one to believe that the least important attribute fell to clean stores and surroundings. It held the lowest deviation at 1.774 indicating the greater dispersion leading one make the decision that the populace was not to one extreme or another. Thus some felt it was important while others felt that it
Ease of Return/Exchange Goods In the category of ease of returning or exchanging goods, the mean was 4.913, a mode of 7, a range of 6, and a standard deviation of 2.066. The mean for the category fell in the middle of all the other categories and …show more content…
This category had the highest mean and fairly low standard deviations compared to the other categories, telling us that the data is fairly disperse. No significant information was gleaned from the range. A mode of 7 let us know more consumers felt this is a high priority when shopping. With only eight 1s and the rest mostly 7 the ones in this case could be considered outliers as there were not many 2 eithers. The 1s are affecting the mean as the …show more content…
The higher the standard deviation the less disperse the data is found to be. Ease of return/exchange had the highest standard deviation coming in at 2.066. No obvious outliers in the results were found to sway the thought process that this was not the most important attribute to consumers. Meanwhile, observations lead one to believe that the least important attribute fell to clean stores and surroundings. It held the lowest deviation at 1.774 indicating the greater dispersion leading one make the decision that the populace was not to one extreme or another. Thus some felt it was important while others felt that it