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MALL TRENDS PowerPoint Presentation
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MALL TRENDS

MALL TRENDS

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MALL TRENDS

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  1. MALL TRENDS By: Cameron Lance, Denny Burns, and Dominic Raguz

  2. 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

  3. What We Wanted To Research • 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

  4. 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

  5. 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

  6. Procedure • 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

  7. 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

  8. MONTGOMERY MALL - GAMESTOP

  9. WILLOW GROVE MALL- GAMESTOP 27 51 12 33

  10. CONCLUSION - GameStop

  11. MONTGOMERY MALL - HOLLISTER 59 28 35 16

  12. WILLOW GROVE MALL- HOLLISTER 114 39 38 17

  13. CONCLUSION - HOLLISTER

  14. MONTGOMERY MALL - PACSUN 37 41 32 25

  15. WILLOW GROVE MALL- PACSUN 84 87 24 23

  16. CONCLUSION – Pac Sun

  17. Chi-Square Test of Association – Pac Sun ASSUMPTIONS1. 2 SRS 2. All expected counts > 5 CHECKS1. Was not an SRS, we counted everyone; but we did the test anyways 2. HYPOTHESESHO: 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

  18. Chi-Square Test of Association • X2 = (observed – expected)2expectedX2 = (48 – 53.587)2 53.87 • X2 = 1.647P(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)2122.41 + …

  19. Chi-Square Test of Association – Hollister ASSUMPTIONS1. 2 SRS 2. All expected counts > 5 CHECKS1. Was not an SRS, we counted everyone; but we did the test anyways 2. HYPOTHESESHO: 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

  20. Chi-Square Test of Association • X2 = (observed – expected)2expectedX2 = (33 – 30.233)2 30.233 • X2 = 1.647P(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)269.767 + …

  21. Chi-Square Test of Association – GameStop ASSUMPTIONS1. 2 SRS 2. All expected counts > 5 CHECKS1. Was not an SRS, we counted everyone; but we did the test anyways 2. HYPOTHESESHO: 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

  22. Chi-Square Test of Association • X2 = (observed – expected)2expectedX2 = (35 –34.826)2 34.826 • X2 = .003P(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)290.174 + …

  23. One Proportion Z-Test- Pac Sun • AssumptionsChecks • SRS 1.assumed • Normal population 2.n ≥ 30 Or N≥30 • Population ≥ 10n 3. 10n ≤ Population

  24. One Proportion Z-Test- Pac Sun Ho: p=0.5 Ha: p≠0.5 Z= = -0.317 2*P(z<-0.317)= .751 We 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%

  25. One Proportion Z-Test- Hollister • AssumptionsChecks • SRS 1.assumed • Normal population 2.n ≥ 30 Or N≥30 • Population ≥ 10n 3. 10n ≤ Population

  26. One Proportion Z-Test- Hollister Ho: p=0.5 Ha: p<0.5 Z= =-7.764 P(z<-7.764)=8.3*10^-15 We reject Ho because p-value of 8.3*10^-15 < α=0.5 We have sufficient evidence that the true percent of males who go to Hollister is less than 50%

  27. One Proportion Z-Test- GameStop • AssumptionsChecks • SRS 1.assumed • Normal population 2.n ≥ 30 Or N≥30 • Population ≥ 10n 3. 10n ≤ Population

  28. One Proportion Z-Test- GameStop Ho: p=0.5 Ha: p>0.5 Z= =3.456 P(z>3.456)=.0003 We reject Ho because p-value of .0003 > α=0.5 We have sufficient evidence that the true percent of males who go to GameStop is greater than 50%

  29. Overall Conclusions • 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

  30. 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

  31. Bias and Error • 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

  32. Personal Opinions and Conclusions • 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