Stories of Waiting

Overheard comments, complaints, and questions from customers. Inane, humorous, and mind-boggling indeed.

May 22

Results on tips; your thoughts?

After a month of gathering data (yay data!) on the tips that were left for myself, here are the initial results. If anyone really wants to see the Excel sheets, I can show you, and apologies for the statistical speak (it gets me excited).

(n= is the quantity of data in particular set; “outlier” is more than twice the standard deviation of the average)

Based on age & race (with outliers/ without outliers):

White people:

  • Young (n=29) - 20.1/19.5%
  • Middle (n=42) - 20.1/19.5%
  • Older (n=14) - 18.3/17.7%
Black people:
  • Young (n=7) - 17.9/17.9%
  • Middle (n=6) - 15.8/15.8%
  • Older (n=3) - 16.5/16.5%
Other Ethnicity:
  • Young (n=8) - 18.6/18.6%
  • Middle (n=4) - 17.4/17.4%
  • Older (n=0) - N/A

Based on sex:

  • Women (n=47) - 19.6/19.1%
  • Man (n=55) - 18.5/18.5%

Based on Type of card* used:

  • Amex (n=7) - 19.5/19.5%
  • Discover (n=0) - N/A
  • MasterCard (n=14) - 18.1/18.8%
  • Visa (n=48) - 19.5/19.3%

Overall average tip:

19%

Observations:

  • Both black people and Other need more data collected to start drawing conclusions; their standard deviations were huge, and confidence was low.
  • The * indicates this realization: I wanted the “Type of Card” data to be on credit cards, but I forgot most Visas are also debit cards. Should I try to keep it limited to just credit cards, or all card types?
  • MasterCard users tip lowest, While Amex users consistently tip highest.
  • Lowest tip: 5.3% (Middle Black Male); Highest tip: 42.9% (Young White Male)

Further research:

  • Someone suggested I separate data further, into Day of the Week. Yes?
  • Is there anything you guys want to see?
  • I will continue to collect data over the next months. This is becoming really interesting.

Your thoughts/concerns/questions?


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