-As a small business owner myself I wanted to do my
final project researching the statistics of high price
sneaker buyers. This was important to me because it
would give me a better idea of who was buying my
shoes and how I should try to sell to them. Also it
would show me the prices they are willing to pay.
- Research question: What is the most common age
group of these buyers and what is the max price they
will pay for a pair.





All data was collected using survey monkey. I posted the link onto
our class website, a popular sneaker page I use to sell sneakers,
and to a few of my past customers.
10 responses in total were collected. Three from the class blog, five
from the sneaker page, and two from past customers.
Nine males and one female responded.
80% of the responses were in the age group of 18 to 24, 10% were
25 to 34, and 10% were 35 to 45.
Every single response chose Nike as their favorite brand.
Most Spent Stats
Mean
275 Mean
382
Standard Error
51.70966 Standard Error
98.09066
Median
230 Median
300
Mode
160 Mode
300
Standard Deviation
163.5203 Standard Deviation
310.1899
Sample Variance
26738.89 Sample Variance
96217.78
Kurtosis
0.126806 Kurtosis
-0.03211
Skewness 1.018903 Skewness 0.898825
Range
510 Range
920
Minimum
90 Minimum
80
Maximum
600 Maximum
1000
Sum
2750 Sum
3820
Count
10 Count
10
Confidence116.9754
Level(95.0%)
Confidence221.8965
Level(95.0%)
Max Spend
2.5
2
1.5
1
0.5
0
Bin
More
1000
900
800
700
600
300
200
Frequency
100
More
1000
900
800
700
600
500
400
300
200
Frequency
Frequency
4
3
2
1
0
100
Frequency
Most Spent
Bin
Max Spending Stats
500
470
260
150
600
400
210
90
160
160
250
Max they will spend
300
700
100
120
120
80
300
500
600
1000
400
Most spent on a pair



In conclusion I learned a vast amount of useful information from
this research project. The data was pretty normally distributed in
the most they had spent graph but it was not uniform at all in the
max they will spend graph. I think that was because there were
only 10 responses and also that was strictly an opinion based
question.
As expected most of my responders were males between the age
of 18 and 25. Now with this data I know that they are my target
market. I also know they are willing to pay an average of $328 for
exclusive sneakers based on the mean of what they spent in the
past and what the will spend.
Lastly from the standard deviations I can see just how much
difference in prices people will pay are. If given the opportunity I
probably will look back into this and try to get they survey to all
100 people to see a more concrete data set.