The Study
The raw data can be found here
Graphs and statistics of the data can be found here
Sampling Method
The data was collected at the local Starbucks in North Olmsted, Ohio. Controlling for variations in the time in which customers may visit the coffee shop, I sat at Starbucks for an hour between 6:00pm and 7:00pm each day and observed who entered through the front entrance to the store. I recorded how many males and how many females arrived, in fifteen minute intervals, in order to obtain a sufficient number of samples to increase the validity of the results (the more samples, the more normal the sampling distribution). Also, the weather was noted since that could potentially affect whether or not people decided to visit the store on that particular day. The particular size of each sample differed as it relied on the randomness of who decided to visit Starbucks during each particular fifteen
minute interval. However, the population of
interest was coffee shops in North Olmsted. The samples were
inconsistent since just about anyone can choose to visit
Starbucks, however, it was observed that the youngest customers
were teenagers (the few children that entered were accompanied
by parents and not observed in the study since they are not as
significant to the study) and there appeared to be no upper
limit on how old the customers were. Significance Test
A two sample t-test was run to test the significance of the study
1. μ 1 = mean number of males who visit Starbucks
μ 2 = mean number of females who visit Starbucks
2. Null hypothesis: μ 1 = μ 2
3. Alternative Hypothesis: μ 1 ≠ μ 2
4. Level of significance, α: 0.05
5. Assumptions: Random data, sufficient number of sample sizes, normal.
6.
=
-3.637. p-value = 0.001
->Minitab output for the two sample t-test