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MBA 512 Tips

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  • 1. Topic: Restaurant Tipping Presented by: Miranda Lazar & Kristyn Kelly
  • 2.
    • 2003 sales at restaurants totaled $151 Billion
    • Assuming 15% tipping, waiters and waitresses earned $22.7 billion in tip income
  • 3.
    • Research shows that tip percentages are weakly related to customers’ rating of service quality
    • Tips may be influence by many factors
      • Size of the party
      • Table location in the restaurant
      • Gender
      • Smokers vs. non smokers
      • Time of the day (Lunch vs. Dinner)
  • 4.
    • Restaurant located in a suburban shopping mall
    • Server collected data during an interval of two & a half months
      • Gender (0=male, 1=female)
      • Smoker (0=no, 1=yes)
      • Day of the week (3=Thursday, 4=Friday, 5=Saturday, 6=Sunday)
      • Time of day (0=day, 1=night)
      • Size of the party
    • Manager believed that the data would provide a means of assessing what sorts of things affect tips and whether they were seen as objective
  • 5.
    • Total bills range from $3.07 to $50.81
    • Mean of Total bills = $19.79
    $50.81 $3.07
  • 6. Men
  • 7.
    • May be skewed do to more men were apart of the research than women
    • 157 men vs. 87 women
  • 8. SAMPLE HYPOTHESIS TESTS hyp value sample mean stdev sample size for the mean REF =average() =stdev() =(n) NULL :  Null statement   ALTERNATIVE:  Alternative statement test statistic (obs) =standardize(sample mean, ref value, std error(stdev/sqrt(n)) critical measure =normsinv(1-signif level/#tails) one-tailed or two-tailed? 1 |OBS| > CRIT? p-value =(#tails)*(normsidst(abs(obs)))  -level 0.050 p-value <  -level?
  • 9. HYPOTHESIS TESTS hypothesized value sample mean stdev sample size for the mean 3.00 3.09 1.49 157 NULL :  Men are better tippers than women   ALTERNATIVE:  Men are not better tippers than women test statistic (obs) .7540843 critical measure 1.6448535 one-tailed or two-tailed? 1 |OBS| > CRIT? no p-value 0.225  -level 0.050 p-value <  -level? no ACCEPT THE NULL
  • 10.
    • Men are better tippers than women!
  • 11.  
  • 12. HYPOTHESIS TESTS hypothesized value sample mean stdev sample size for the mean 3.00 3.10 1.44 176 NULL :  people tip more than the average tip at dinner time ALTERNATIVE:  people tip less than the average tip at dinner time   test statistic (obs) 0.94836 critical measure 1.64485 one-tailed or two-tailed? 1 |OBS| > CRIT? no p-value 0.171  -level 0.050 p-value <  -level? no ACCEPT THE NULL
  • 13.
    • People tip more than average at dinner time!
  • 14.  
  • 15.  
  • 16.  
  • 17.  
  • 18.
    • Gender of patron has an influence over the amount of tip
      • Men tip an average of $3.09
      • Women tip an average of $2.83
    • Time of day has an influence over the amount of tip
      • Lunch tip average $2.72
      • Dinner tip average $3.10
  • 19.
    • Little or no influence over tip amount
      • Day of Week
        • Sat & Sun tend to have larger total bill=larger tips
      • Average Total Bill
        • Sat & Sun larger total bill
      • Smoker vs. Non-Smoker
        • Very little difference
        • $2.99 avg. vs. $3.00 avg.
      • Size of Party
  • 20.
    • Have servers alternate from lunch and dinner shifts so there is more opportunity for equal tip earnings.
    • Because average total bills tend to be larger on weekends equaling larger tips, also alternate days of week that servers work for opportunity to earn equal tips.
    • Add gratuity to the bottom line or explain that gratuity is not included.