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TIPS
1SHT
By:
Philip Russin
Chris Generose
General Procedure for
           Hypothesis Testing
1.   Define the Hypothesis
       •    Null & Alternative
2.   Calculate the Test Statistic
       •    Using Z-tests or T-tests
       •    Observed vs. Critical values
       •    Significance Level (p-value vs. alpha-level)
3.   Make a Decision (using rules of thumb, or
     decision rules)
       •    Decision rules are based on comparing the data to
            statistical thresholds
Define the Hypothesis
   First step in hypothesis testing is to translate the research
    questions into hypotheses.
   Every statistical test tests the Null hypothesis against the
    Alternative hypothesis
   Null Hypothesis: States the obvious; status quo
        • Should use the equality sign
   Alternative Hypothesis: Bears the burden of proof
        • Includes the remainder of the population that is not covered by the
          null
   One-tailed vs. Two-tailed Tests
Calculate the Test Statistic

 Observed, Critical, & Significance Level
 If the sample mean is close to the
  assumed population mean, ACCEPT the
  null hypothesis
 If the sample mean is far from the
  assumed population mean, REJECT the
  null hypothesis.
Make a Decision

   Based on statistical thresholds:
       •   /OBS/ < CRIT – Accept Null
       •   /OBS/ > CRIT – Reject Null
       •   P-value < Alpha-level = Reject Null
       •   P-value > Alpha-level = Accept Null
 Form a conclusion
 Make a recommendation
Case Overview
   Food servers’ tips in restaurants may be influenced by
    many factors:
       The nature of the restaurant
       Size of the party
       Table location in the restaurant
       Etc.
   To make appropriate assignments for the food
    servers, restaurant managers need to know what these
    factors are.
   Must avoid unfair treatment of the food servers, for whom
    the tips are a major component of pay.
Case Overview (cont.)
   Based on one food server’s data about all customers over a
    two and a half month period
   The data was recorded on those days and during times when
    the food server was routinely assigned to work.
   The following information was recorded:
       The amount of the total bill
       The amount of the tip
       The gender
       Smoker vs. Non
       The day of the week (3=Thu, 4=Fri, 5=Sat, 6=Sun)
       Time of day (day, night)
       Size of the party (1-6)
   Case Question: Based on this data, what are your
    recommendations to avoid unfair treatment of the food
    servers?
Summary Measures
   245 Total Observations
   Average Total Bill: $19.79
   Mean Tip: $3.00 or 15.2%
   Average Party Size: 2.5
   Mean Tip by Shift: $2.73 (Day) & $3.10 (Night)
       68 Day & 176 Night Shifts
   Mean Tip of Males: $3.09
   Mean Tip of Females: $2.83
   151 Non-Smokers ($2.99) & 93 Smokers ($3.01)
Mean Tip per Day


Average of Tip

3.30
3.20
3.10
3.00
2.90                                       Drop Series Fields Here

2.80                                         Total
2.70
2.60
2.50
2.40
        Thurs.   Fri.      Sat.     Sun.

                    Day
Mean Tip by Party Size


Average of Tip

 6.00
 5.00
 4.00
                                                  Drop Series Fields Here
 3.00
                                                    Total
 2.00
 1.00
 0.00
          1      2      3          4   5   6

                     SizeOfParty
Mean Tip by Size of Party & Shift


              Average of Tip


              6

              5

              4                                        TimeOfDay
SizeOfParty
                                                        Night
              3
                                                        Day

              2

              1

              0.00        2.00       4.00       6.00
Mean Tip by Size of Party & Day

Average of Tip
 6.00

 5.00

 4.00                                              Day
                                                    Thurs.
 3.00                                               Fri.
 2.00                                               Sat.
                                                    Sun.
 1.00

 0.00
          1        2      3          4   5     6

                       SizeOfParty
Hypothesis Test 1
   Question: Are Saturdays & Sundays the best days for
    tips?
   Null: Saturday & Sunday ARE the best days for tips.
   Alt: Saturday & Sunday are NOT the best days for tips.
   Hypothesized Value: $3.00
   Sample Size: 163
       Only 81 Thursdays & Fridays
   Sample Mean: $3.12
   One – Tailed Test
Hypothesis Test 1 (cont.)
   Test Statistic (OBS) = 1.007
   Critical Measure = 1.645
   /OBS/ > Crit? = NO
   P-value = 0.157
   Alpha-level = 0.05
   P-value < Alpha? = NO
   ACCEPT NULL!!!
   Conclusion: Saturday & Sunday ARE the best days for
    tips.
       Average tip for Thursday & Friday is $2.76
Hypothesis Test 2
   Question: Do smaller parties tip better than average?
   Null: Smaller parties DO tip better.
   Alt: Smaller parties do NOT tip better.
   Hypothesized Value: $3.00
   Sample Size: 198 (sizes 1-3)
       Only 46 Large Parties (sizes 4-6)
   Sample Mean: $2.71
   One – Tailed Test
Hypothesis Test 2 (cont.)
   Test Statistic (OBS) = (3.442)
   Critical Measure = 1.645
   /OBS/ > Crit? = YES
   P-value = 0.000
   Alpha-level = 0.05
   P-value < Alpha? = YES
   REJECT NULL!!!
   Conclusion: Smaller parties do NOT tip better.
       Large parties average tip is $4.22
Conclusion

 Males tip better than Females
 Saturdays & Sundays are the best days for
  tips.
 Large Parties tip better than smaller
  parties, although there are many more
  smaller parties.
 Night Shift usually gets better tips
Recommendation

   Schedule food servers on an alternating week to
    week routine based on day and shift:
       Days 3 & 5 (Thursday & Saturday)
         • Mean tip $2.88
       Days 4 & 6 (Friday & Sunday)
         • Mean tip $2.99
   All servers will also alternate Day & Night
    shifts for equal opportunity.

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One Sample Hypothesis Tips

  • 2. General Procedure for Hypothesis Testing 1. Define the Hypothesis • Null & Alternative 2. Calculate the Test Statistic • Using Z-tests or T-tests • Observed vs. Critical values • Significance Level (p-value vs. alpha-level) 3. Make a Decision (using rules of thumb, or decision rules) • Decision rules are based on comparing the data to statistical thresholds
  • 3. Define the Hypothesis  First step in hypothesis testing is to translate the research questions into hypotheses.  Every statistical test tests the Null hypothesis against the Alternative hypothesis  Null Hypothesis: States the obvious; status quo • Should use the equality sign  Alternative Hypothesis: Bears the burden of proof • Includes the remainder of the population that is not covered by the null  One-tailed vs. Two-tailed Tests
  • 4. Calculate the Test Statistic  Observed, Critical, & Significance Level  If the sample mean is close to the assumed population mean, ACCEPT the null hypothesis  If the sample mean is far from the assumed population mean, REJECT the null hypothesis.
  • 5. Make a Decision  Based on statistical thresholds: • /OBS/ < CRIT – Accept Null • /OBS/ > CRIT – Reject Null • P-value < Alpha-level = Reject Null • P-value > Alpha-level = Accept Null  Form a conclusion  Make a recommendation
  • 6. Case Overview  Food servers’ tips in restaurants may be influenced by many factors:  The nature of the restaurant  Size of the party  Table location in the restaurant  Etc.  To make appropriate assignments for the food servers, restaurant managers need to know what these factors are.  Must avoid unfair treatment of the food servers, for whom the tips are a major component of pay.
  • 7. Case Overview (cont.)  Based on one food server’s data about all customers over a two and a half month period  The data was recorded on those days and during times when the food server was routinely assigned to work.  The following information was recorded:  The amount of the total bill  The amount of the tip  The gender  Smoker vs. Non  The day of the week (3=Thu, 4=Fri, 5=Sat, 6=Sun)  Time of day (day, night)  Size of the party (1-6)  Case Question: Based on this data, what are your recommendations to avoid unfair treatment of the food servers?
  • 8. Summary Measures  245 Total Observations  Average Total Bill: $19.79  Mean Tip: $3.00 or 15.2%  Average Party Size: 2.5  Mean Tip by Shift: $2.73 (Day) & $3.10 (Night)  68 Day & 176 Night Shifts  Mean Tip of Males: $3.09  Mean Tip of Females: $2.83  151 Non-Smokers ($2.99) & 93 Smokers ($3.01)
  • 9. Mean Tip per Day Average of Tip 3.30 3.20 3.10 3.00 2.90 Drop Series Fields Here 2.80 Total 2.70 2.60 2.50 2.40 Thurs. Fri. Sat. Sun. Day
  • 10. Mean Tip by Party Size Average of Tip 6.00 5.00 4.00 Drop Series Fields Here 3.00 Total 2.00 1.00 0.00 1 2 3 4 5 6 SizeOfParty
  • 11. Mean Tip by Size of Party & Shift Average of Tip 6 5 4 TimeOfDay SizeOfParty Night 3 Day 2 1 0.00 2.00 4.00 6.00
  • 12. Mean Tip by Size of Party & Day Average of Tip 6.00 5.00 4.00 Day Thurs. 3.00 Fri. 2.00 Sat. Sun. 1.00 0.00 1 2 3 4 5 6 SizeOfParty
  • 13. Hypothesis Test 1  Question: Are Saturdays & Sundays the best days for tips?  Null: Saturday & Sunday ARE the best days for tips.  Alt: Saturday & Sunday are NOT the best days for tips.  Hypothesized Value: $3.00  Sample Size: 163  Only 81 Thursdays & Fridays  Sample Mean: $3.12  One – Tailed Test
  • 14. Hypothesis Test 1 (cont.)  Test Statistic (OBS) = 1.007  Critical Measure = 1.645  /OBS/ > Crit? = NO  P-value = 0.157  Alpha-level = 0.05  P-value < Alpha? = NO  ACCEPT NULL!!!  Conclusion: Saturday & Sunday ARE the best days for tips.  Average tip for Thursday & Friday is $2.76
  • 15. Hypothesis Test 2  Question: Do smaller parties tip better than average?  Null: Smaller parties DO tip better.  Alt: Smaller parties do NOT tip better.  Hypothesized Value: $3.00  Sample Size: 198 (sizes 1-3)  Only 46 Large Parties (sizes 4-6)  Sample Mean: $2.71  One – Tailed Test
  • 16. Hypothesis Test 2 (cont.)  Test Statistic (OBS) = (3.442)  Critical Measure = 1.645  /OBS/ > Crit? = YES  P-value = 0.000  Alpha-level = 0.05  P-value < Alpha? = YES  REJECT NULL!!!  Conclusion: Smaller parties do NOT tip better.  Large parties average tip is $4.22
  • 17. Conclusion  Males tip better than Females  Saturdays & Sundays are the best days for tips.  Large Parties tip better than smaller parties, although there are many more smaller parties.  Night Shift usually gets better tips
  • 18. Recommendation  Schedule food servers on an alternating week to week routine based on day and shift:  Days 3 & 5 (Thursday & Saturday) • Mean tip $2.88  Days 4 & 6 (Friday & Sunday) • Mean tip $2.99  All servers will also alternate Day & Night shifts for equal opportunity.