• TIPAMT Tip Amount (coded as 1, 2, 3, 4, or 5) where 1 = <10%; 2 = 10-12%; 3 = 12-14%; 4 = 15-16%; 5 = >18%. (TIPAMT was directly measured from customers payments for the checks).
• MLTSRV Multiple Servers in Attendance (0=No; 1=Yes). (For customers on Tuesday, this variable was coded as 1. For customers on Wednesday, this variable was coded as 0).
• #PRTY - # of Individuals in the Party. (The primary server noted the number of individuals on the meal check).
• #EYECNT - # of Eye Contacts made with any one individual in the party.

(This variable was harder to measure because on Tuesday multiple servers could have made eye-contact. It was the primary servers responsibility to check with the other servers how many times they looked into any one customers eyes in the party. The primary server then noted that number on the meal check).

• MFPAY Male or Female Making the Payment (1 = Male; 2 = Female). (Again it was the primary servers responsibility to note the gender of the individual making the payment).
• #TRPS - # of Trips in the last Month to BurgerHut by the person making the payment.

1. You conducted a 2-group independent t-test with MFPAY as the grouping (independent) variable and TIPAMT as the dependent variable. The mean tip amount for males, the mean tip value for females and the t-statistic were 3.46, 2.21, 3.68. Given the t-statistic value you would conclude

Select one:

a. Females leave more tip than males

b. Males leave more tip than females

c. They both leave same amount statistically speaking

d. Even though this test is interesting, it does not shed light on the main hypothesis

e. b and c

2. You conducted a 2-group independent t-test with MLTSRV as the grouping (independent) variable and TIPAMT as the dependent variable. The mean tip amount with single server, the mean tip value with multiple servers and the t-statistic were 2.06, 4.06 and -8.53. Given the t-statistic and the two means you would conclude

Select one:

a. TIPAMT was statistically higher when multiple servers were present

b. Having multiple servers had no effect on the tip amount

c. This is not a right test to conduct

3.Would you consider conducting an analysis using #TRPS and MFPAY?

Select one:

a. Yes, a 2-group t-test with MFPAY as the independent grouping variable and #TRPS as the dependent variable makes sense.

b. No, it doesnt make any sense trying to establish a relationship between these two variables