Table:
0
A
B
C
D
E
F
1
Country
Preliminaries
Interview
Swimsuit
Evening Gown
Average
2
California
9.090
9.270
9.437
9.429
9.379
3
South Carolina
9.057
9.220
9.369
9.516
9.368
4
Georgia
8.949
9.343
9.217
9.519
9.360
5
Tennessee
9.212
9.321
9.364
9.330
9.338
6
Kansas
9.197
9.194
9.297
9.433
9.308
7
Missouri
9.097
9.143
9.140
9.617
9.300
8
New Jersey
9.117
9.047
9.329
9.334
9.234
9
Mississippi
9.042
9.170
9.109
9.127
9.135
10
Pennsylvania
8.940
9.183
9.031
9.163
9.123
11
Louisiana
9.017
9.118
9.023
9.189
9.110
12
Florida
8.968
8.891
9.134
9.179
9.068
13
Indiana
8.964
8.934
9.017
9.236
9.062

Questions and formulas:
Question: What is the average where the swimsuit is larger than 9.437?
Formula: SUM(FILTER(F1, D1>9.437))
Formula2: SUM(FILTER(F2:F13, D2:D13>9.437))
Level: easy
Question: What is the evening gown score where the interview score is 9.22 and the preliminaries are larger than 9.057?
Formula: SUM(FILTER(E1, (C1=9.22)*(B1>9.057)))
Formula2: SUM(FILTER(E2:E13, (C2:C13=9.22)*(B2:B13>9.057)))
Level: easy
Question: What is Pennsylvania's average where the swimsuit is smaller than 9.109 and the evening gown is smaller than 9.163?
Formula: SUM(FILTER(F1, (D1<9.109)*(A1="pennsylvania")*(E1<9.163)))
Formula2: SUM(FILTER(F2:F13, (D2:D13<9.109)*(A2:A13="pennsylvania")*(E2:E13<9.163)))
Level: easy
Question: What is the preliminaries score where the swimsuit is smaller than 9.297, the evening gown is 9.617, and the interview is larger than 9.143?
Formula: SUM(FILTER(B1, (D1<9.297)*(E1=9.617)*(C1>9.143)))
Formula2: SUM(FILTER(B2:B13, (D2:D13<9.297)*(E2:E13=9.617)*(C2:C13>9.143)))
Level: easy