Statement of the Problem

me

 

 

The purpose of this study is to see whether more men or more women use credit cards versus cash at a particular pizza and sandwich shop. I am researching this study because my father is the owner of a pizza shop and I have access to all the credit card and cash transactions and records and I am curious as to whether more men or women decide to be new age and use credit cards or old-school and count paper money. Credit cards are more useful and accessible but are also able to hack and the possibility of overdrawing and owing more money to the bank is more likely. Cash is a safer way to spend money, but you’re less likely to have that money returned to you if stolen, as you would a credit card. If this study is done correctly then it could be useful to credit card companies and POS system companies (the companies that deal with the transaction of credit cards through businesses).

 

 

Abstract

 

 I was interested in seeing whether men or women use cash or credit card more, and I used the restaurant that I work at to record my data, using our customers. I expected men to use more cash and women to use credit. Each day that I worked, I recorded each take out transaction with the payment type (credit card or cash) and gender. I did not mark for checks, because those are extremely rare and so the sample wouldn’t be large enough. I did not include delivery orders or pre-orders (such as for holidays), primarily because both of those are normally paid with cash and credit respectfully. I recorded the hours on the same days every week during the same hours, which might have made the study weaker, because many families have routines, like only buying pizza on the weekends. I used a 2 proportion T test, to compare the two proportions in both cash and credit. My hypothesis tests for both cash (male vs. female) and credit (male vs. female) failed to reject the null hypothesis, which meant that men and women from Savory Sub generally use both cash and credit equally. One weakness would be that my samples, (while large enough) were not as great as to be able to extrapolate my findings to all stores in the U.S. I would, however, be able to use my results to extrapolate to other food establishments, but that would be done carefully. If this study was done further, a larger sample size should be use to get a greater difference in the numbers for male and female.