Question 1: What is the minimum number of statistical tests required to prove or disprove the hypothesis that SVBAR and SMILES are helpful in increasing GRAT?

(a) 1

(b) 2

(c) 3

(d) 4

Question 2: You conducted a 2-group independent t-test with SVBAR as the grouping (independent) variable and GRAT as the dependent variable. The mean gratuity amount with a single bartender in attendance, the mean gratuity value with multiple bartenders in attendance, and the t-statistic were 2.06, 4.06 and -8.53, respectively. Given the t-statistic and the two means you would conclude:

(a) This was not the right statistical test to conduct

(b) Having multiple bartenders had no effect on the tip amount

(c) GRAT was statistically higher in the presence of multiple bartenders

Question 3: Tuesday and Wednesday's groups could be different, so there could be problem with the validity of the results.

(a) True

(b) False

Information given:

GRAT - Gratuity Amount (coded as 1, 2, 3, 4, or 5) where 1 = <10%; 2 = 10-12%; 3 = 12-14%; 4 = 15-16%; 5 = >18%.

(GRAT was directly measured from customers' payments for the checks).

SVBAR - Several Bartenders 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).

IND - # of Individuals in the Party.

(The primary server noted the number of individuals on the meal check).

SMILES - # 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).

GENDER - 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).

TRIPS - # of Trips in the last Month to BurgerHut by the person making the payment.

(This was the only question that the customer was asked to answer. Each check was accompanied by a little card with the question, "How many times in the last month have you visited BurgerHut for lunch or dinner?" The server bringing the check requested that this question be answered by the individual paying the check).

If the table asked for the check to be split up, each person paying was considered a respondent. The variables MLTSRV, #PRTY, #EYECNT were the same for all respondents on that one table.