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MALL TRENDS. By: Cameron Lance, Denny Burns, and Dominic Raguz. TOPIC. We will observe people going into three different stores Pac sun Hollister GameStop We will go to two different malls at two different times Montgomery Mall Willow Grove Mall. What We Wanted To Research. - PowerPoint PPT Presentation
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MALL TRENDSBy: Cameron Lance, Denny Burns, and Dominic Raguz
• We will observe people going into three different stores– Pac sun– Hollister– GameStop
• We will go to two different malls at two different times– Montgomery Mall– Willow Grove Mall
TOPIC
• We wanted to see if certain stores appealed to specific genders
• Testing to see if stereotypes were true about certain stores– Hollister would have more females– GameStop would have more males– Pac Sun would be a neutral store
What We Wanted To Research
• We wanted to see if males or females are more likely to purchase goods in a store-We want to find out the overall trend between genders as to who buys more when they enter a store
• We think that females are more likely to buy something as opposed to males
What We Wanted To Research
• We wanted to see which store is the most popular out of the three observed– See which store has more people going in and out
of it
• Between the three, we think that Pac Sun will have the most people because they are advertised as a neutral store, appealing to males and females
What We Wanted To Research
• We are conducting an observational study to collect our data– We will sit at a distance from each store for ninety
minutes– One person at each store for a ninety minute
interval, making observations of gender, whether they purchase something, and how many people visit the store
– We are counting everybody that walks in except for babies and anybody that doesn’t have a choice
Procedure
• After the ninety minute observational period, we went to the other mall
• We changed the store we observed to make sure the results were consistent
• Next day did the same thing at each mall, but at different times
Procedure
MONTGOMERY MALL - GAMESTOP
Buy
No Buy
0 5 10 15 20 25 30 35 40 45
FemalesMales
Number of Buyers
28
39
9
12
WILLOW GROVE MALL-GAMESTOP
Buy
No-Buy
0 10 20 30 40 50 60
FemalesMales
Number Of Buyers
3312
5127
Males (Buy)
Males (Didn't Buy)
Females (Buy)
Females (Didn’t Buy)
0 10 20 30 40 50 60 70 80 90 100
CONCLUSION - GameStop
MONTGOMERY MALL - HOLLISTER
Buy
No Buy
0 10 20 30 40 50 60 70
FemalesMales
Number of Buyers
59
28
35
16
WILLOW GROVE MALL-HOLLISTER
Buy
No-Buy
0 20 40 60 80 100 120
FemalesMales
Number Of Buyers
114
39
1738
CONCLUSION - HOLLISTER
Males (Buy)
Males (Didn't Buy)
Females (Buy)
Females (Didn’t Buy)
0 20 40 60 80 100 120 140 160 180 200
MONTGOMERY MALL - PACSUN
Buy
No Buy
0 5 10 15 20 25 30 35 40 45
FemalesMales
Number of Buyers
37
41
32
25
WILLOW GROVE MALL-PACSUN
Buy
No-Buy
0 10 20 30 40 50 60 70 80 90 100
FemalesMales
Number of Buyers
87
2324
84
Males (Buy)
Males (Didn't Buy)
Females (Buy)
Females (Didn’t Buy)
0 20 40 60 80 100 120 140
CONCLUSION – Pac Sun
Chi-Square Test of Association – Pac Sun
ASSUMPTIONS
1. 2 SRS
2. All expected counts > 5
CHECKS
1. Was not an SRS, we counted everyone; but we did the test anyways
2. HYPOTHESES
HO: There is NO association between the gender of someone who buys a product at Pac Sun (independent of one another)
HA: There IS AN association between the gender of someone who buys a product at Pac Sun
∑Chi-Square Test of AssociationX2 = (observed – expected)2
expected
X2 = (48 – 53.587)2
53.87 X2 = 1.647
P(X2 > 1.647 df = 1) = .1993
CONCLUSIONWe fail to reject Ho because a p-value of .1993 > α = .05. We have sufficient evidence that there is no association between the gender of someone who buys a product at Pac Sun.
∑ + (128-122.41) 2
122.41
…
Chi-Square Test of Association – Hollister
ASSUMPTIONS
1. 2 SRS
2. All expected counts > 5
CHECKS
1. Was not an SRS, we counted everyone; but we did the test anyways
2. HYPOTHESES
HO: There is NO association between the gender of someone who buys a product at Hollister (independent of one another)
HA: There IS AN association between the gender of someone who buys a product at Hollister
∑Chi-Square Test of AssociationX2 = (observed – expected)2
expected
X2 = (33 – 30.233)2
30.233 X2 = 1.647
P(X2 > .511 df = 1) = .474
CONCLUSIONWe fail to reject Ho because a p-value of .474 > α = .05. We have sufficient evidence that there is no association between which gender buys something at Hollister.
∑ + (67-69.767) 2
69.767
…
Chi-Square Test of Association – GameStop
ASSUMPTIONS
1. 2 SRS
2. All expected counts > 5
CHECKS
1. Was not an SRS, we counted everyone; but we did the test anyways
2. HYPOTHESES
HO: There is NO an association between the gender of someone buying an item at GameStop (independent of one another)
HA: There IS AN association between the gender of someone buying an item at GameStop
∑Chi-Square Test of AssociationX2 = (observed – expected)2
expected
X2 = (35 –34.826)2
34.826 X2 = .003
P(X2 > .003 df = 1) = .954
CONCLUSIONWe fail to reject Ho because a p-value of .954 > α = .05. We have sufficient evidence that there is no association between the gender of a person who buys something at GameStop.
∑ + (90-90.174) 2
90.174
…
• Assumptions Checks1. SRS 1.assumed2. Normal population 2.n ≥ 30 Or N≥303. Population ≥ 10n 3. 10n ≤
Population
One Proportion Z-Test-Pac Sun
One Proportion Z-Test-Pac Sun
Ho: p=0.5Ha: p≠0.5
Z= = -0.317 npppp)1(
ˆ
2*P(z<-0.317)= .751We fail to reject Ho because p-value of 0.751 > α=0.05
We have sufficient evidence that the true percent of males is equal to 50%
• Assumptions Checks1. SRS 1.assumed2. Normal population 2.n ≥ 30 Or N≥303. Population ≥ 10n 3. 10n ≤
Population
One Proportion Z-Test-Hollister
One Proportion Z-Test-Hollister
Ho: p=0.5Ha: p<0.5
Z= =-7.764npppp)1(
ˆ
P(z<-7.764)=8.3*10^-15We reject Ho because p-value of 8.3*10^-15 < α=0.5We have sufficient evidence that the true percent of males who go to Hollister is less than 50%
• Assumptions Checks1. SRS 1.assumed2. Normal population 2.n ≥ 30 Or N≥303. Population ≥ 10n 3. 10n ≤
Population
One Proportion Z-Test-GameStop
One Proportion Z-Test-GameStop
Ho: p=0.5Ha: p>0.5
Z= =3.456 npppp)1(
ˆ
P(z>3.456)=.0003We reject Ho because p-value of .0003 > α=0.5We have sufficient evidence that the true percent of males who go to GameStop is greater than 50%
• GameStop– We found that at the mall more males go into
GameStop than females– However, if a females goes in, she is more likely to buy
something • Hollister – We found that at the mall more females go into
Hollister than males– However, if a male goes in, he is more likely to buy
something
Overall Conclusions
• Pac Sun– We found that at the mall Pac Sun is a neutral
store with about the same number of males and females going in
Overall Conclusions
• Stores having a sale could lead to more people walking in or buying things
• We only went to two different malls at times that suited us
• If we missed people walking in or if someone went in twice during the time we observed
• We could of missed someone if they were in a group of people that walked out and we miscounted
Bias and Error
• Our conclusions were what we thought would happen– GameStop is male dominated– Hollister is female dominated– Pac Sun is neutral
• We loved doing stat outside of school!!!!!• It was a lot of waiting around and taking data but we
found ways to entertain ourselves • It was rewarding to get all our results after our hard
work
Personal Opinions and Conclusions