Springdale Shopping Survey Case Study

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 there is significant low and high numbers found in the results that indicate no obvious outliers. With a mode of 7 it let us know that there were more people who thought this attribute was important to them. The range of 6 provided no significant information of dispersion as the numbers ranges from 1-7 and 1 could have only shown up once and not the 14 times it did and the range would still be the same. This category had the highest standard deviation and only one of three that has a standard deviation close to its mean. Since the standard deviation is closer to the mean it tells us the data is not as spread out as the other categories. High Quality of Goods In the category of the quality of goods, the mean was 5.673 a mode of 7, a range of 6, and a standard deviation of 1.902. …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 outliers. Low Prices In the category low prices, the mean was 5.627, a mode of 7, a range of 6 and a standard deviation of 1.930. This category had the second highest mean but there were about ten 1s and only a handful of 2s so the mean is being affected by the outliers of the few ones and twos. The mode of seven lets us know that consumers feel low prices are very important but the range once again doesn’t really provide us with distinguishable information. The standard deviation is in the middle ground of our grouped data telling us that the dispersion is only somewhat spread out. Thus most consumers’ priority for this category is the same. Good Variety of Sizes and Styles In the category of variety of sizes and styles, the mean was 4.967, a mode of 7, a range of 6 and a standard deviation of 1.873. The mean for this category was also in the middle and is being affected by outlying 1’s as most of the marks feel between 3 and 7. However, it did have a mode of 7 as that is the one that appears most often and lets us know that this is also an important aspect when shopping. It also has one of the lowest standard deviation for this set of information, letting us know that consumers are mixed on this issue providing more disperse information. Friendly/Helpful Sales Staff In the category of friendly/helpful staff, the mean was …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