Descriptive Statistics
Sampling
Since I (Lucas) work at a Malley’s store, I sampled customers that came in while I was working. I tallied the number of male and females customers that came into the store, and grouped them in groups of 10, just by the order they came into the store. In total, I tallied up 30 groups of 10 customers. I only sampled during our busiest hours, as I thought that would give us the best results and I was careful to conduct my sampling by the end of March, in order to not be influenced by Easter shopping. Easter was on April 21st this year.
Significance Test
We chose a two proportion hypothesis test because we wanted to see whether there was a significant difference between our proportions of men and women.
1. p1 =number of women that came into Malley’s
p2 =number of men that came into Malley’s2. Ho: p1 - 2 =0
3. Ha: p1 - 2 >0
4. α = 0.05
5.
Assumptions:
1. Independent random samples.
2. n*p1, n(1-p1)≥5
n*p2, n(1-p2)≥5
300*0.68=204, 300(1-0.68)=96
300*0.32=96, 300(1-0.32)=204
6. z=7.70
7. p-value=0