Question

• 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 customer’s 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 server’s responsibility to note the gender of the individual making the payment).

True or False:

1. MFPAY provides data on a Ratio Scale?

2. MLTSRV is a Nominal Variable?

3. Would you consider conducting a cross-tabulation analysis using MLTSRV and MFPAY?

Select one:

a. No, it doesn’t make any sense trying to establish a relationship between these two variables

b. Yes, they are both nominal variables taking on two values each. So a 2x2 makes sense.

4. What test would be best suited if you wanted to test the hypothesis that #EYECNT significantly impacts TIPAMT?

Select one:

a. Doesn’t matter, they will provide the same insights

b. A paired t-test

c. Simple Regression with TIPAMT as dependent variable and #EYECNT as independent variable

d. Correlation between TIPAMT and #EYECNT

Answer 1

1. TRUE

2.TRUE

3. Yes, they are both nominal variables taking on two values each. So a 2x2 makes sense.

4. D: Correlation between TIPAMT and #EYECNT