Table:
0
A
B
C
D
E
F
1
State
Preliminary
Interview
Swimsuit
Evening Gown
Average
2
New Mexico
8.913
9.533
9.300
9.422
9.418
3
West Virginia
9.008
9.465
9.277
9.454
9.398
4
District of Columbia
8.483
9.244
9.014
9.400
9.219
5
Missouri
8.422
9.311
8.922
9.055
9.096
6
Tennessee
8.564
8.877
9.211
9.055
9.047
7
Illinois
8.917
9.088
9.011
8.966
9.022
8
Oregon
8.981
9.040
8.687
9.333
9.020
9
North Carolina
8.791
9.166
8.822
9.022
9.003
10
Oklahoma
8.616
8.744
8.522
8.853
8.706
11
Texas
8.715
8.277
8.588
8.944
8.603

Questions and formulas:
Question: What is the smallest preliminary when swimsuit is less than 8.822, interview is more than 8.744 and gown is more than 9.333?
Formula: MIN(FILTER(B1, (D1<8.822)*(C1>8.744)*(E1>9.333)))
Formula2: MIN(FILTER(B2:B11, (D2:D11<8.822)*(C2:C11>8.744)*(E2:E11>9.333)))
Level: easy
Question: What is the best preliminary for a contestant from New Mexico with interview less than 9.533?
Formula: MAX(FILTER(B1, (A1="new mexico")*(C1<9.533)))
Formula2: MAX(FILTER(B2:B11, (A2:A11="new mexico")*(C2:C11<9.533)))
Level: easy
Question: What state has a swimsuit less than 9.277, gown more than 8.944 and preliminary greater than 8.483?
Formula: LET(query1,SUMMARIZE(A1,SUMX(D1),SUMX(E1),SUMX(B1)),FILTER(query1,(CHOOSECOLS(query1,2)<9.277)*(CHOOSECOLS(query1,3)>8.944)*(CHOOSECOLS(query1,4)<8.483)))
Formula2: LET(query1,SUMMARIZE(A2:A11,SUMX(D2:D11),SUMX(E2:E11),SUMX(B2:B11)),FILTER(query1,(CHOOSECOLS(query1,2)<9.277)*(CHOOSECOLS(query1,3)>8.944)*(CHOOSECOLS(query1,4)<8.483)))
Level: hard
Question: What is the average when interview is 9.465 and evening gown is less than 9.454?
Formula: SUM(FILTER(F1, (C1=9.465)*(E1<9.454)))
Formula2: SUM(FILTER(F2:F11, (C2:C11=9.465)*(E2:E11<9.454)))
Level: easy
Question: What is the best preliminary score from a contestant from Oklahoma with evening gown less than 8.853?
Formula: MAX(FILTER(B1, (A1="oklahoma")*(E1<8.853)))
Formula2: MAX(FILTER(B2:B11, (A2:A11="oklahoma")*(E2:E11<8.853)))
Level: easy