sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Name | Position | Number | School/Club Team | Season | Acquisition via row 1 : Edgar Echavez | Guard | 12 | Misamis Institute | 2007 | Free Agency
row 2 : Rosell Ellis | Forward | 26 | McNeese State | 2002 | Import
row 3 : Ronjay Enrile | Guard | 21 | Letran | 2006-2012 | Rookie Draft
row 4 : Dennis Espino | Center | 16 | Santo Tomas | 2009-2011 | Free Agency
row 5 : Tony Boy Espinosa | Guard | 13 | La Salle | 2006 | Free Agency [/Table] Answer this question based on the above table: What is the lowest Number, when School/Club Team is Misamis Institute?

Answer: 12.0
[Table] header: Name | Position | Number | School/Club Team | Season | Acquisition via row 1 : Edgar Echavez | Guard | 12 | Misamis Institute | 2007 | Free Agency
row 2 : Rosell Ellis | Forward | 26 | McNeese State | 2002 | Import
row 3 : Ronjay Enrile | Guard | 21 | Letran | 2006-2012 | Rookie Draft
row 4 : Dennis Espino | Center | 16 | Santo Tomas | 2009-2011 | Free Agency
row 5 : Tony Boy Espinosa | Guard | 13 | La Salle | 2006 | Free Agency [/Table] Answer this question based on the above table: What is School/Club Team, when Season is 2006-2012?

Answer: Letran
[Table] header: Name | Position | Number | School/Club Team | Season | Acquisition via row 1 : Edgar Echavez | Guard | 12 | Misamis Institute | 2007 | Free Agency
row 2 : Rosell Ellis | Forward | 26 | McNeese State | 2002 | Import
row 3 : Ronjay Enrile | Guard | 21 | Letran | 2006-2012 | Rookie Draft
row 4 : Dennis Espino | Center | 16 | Santo Tomas | 2009-2011 | Free Agency
row 5 : Tony Boy Espinosa | Guard | 13 | La Salle | 2006 | Free Agency [/Table] Answer this question based on the above table: What is Acquisition via, when Season is 2006-2012?

Answer: Rookie Draft
[Table] header: Date | Score | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 | Total row 1 : May 23 | 3-0 | 25-16 | 25-18 | 25-19 | NA | NA | 75 - 53
row 2 : May 24 | 3-0 | 25-15 | 29-27 | 25-19 | NA | NA | 79 - 61
row 3 : May 25 | 3-1 | 25-16 | 23-25 | 25-13 | 25-14 | NA | 98 - 68
row 4 : May 25 | 3-0 | 25-19 | 27-25 | 25-18 | NA | NA | 77 - 62
row 5 : May 30 | 1-3 | 23-25 | 23-25 | 25-19 | 23-25 | NA | 94 - 94
row 6 : May 31 | 2-3 | 25-23 | 19-25 | 25-18 | 24-26 | 09-15 | 102 - 107
row 7 : Jun 1 | 3-1 | 25-21 | 24-26 | 25-19 | 25-17 | NA | 99 - 83
row 8 : Jun 1 | 3-2 | 23-25 | 21-25 | 25-21 | 25-22 | 16-14 | 110 - 107
row 9 : Jun 7 | 1-3 | 19-25 | 24-26 | 25-22 | 16-25 | NA | 84 - 98
row 10 : Jun 7 | 0-3 | 21-25 | 25-27 | 22-25 | NA | NA | 68 - 77
row 11 : Jun 8 | 1-3 | 18-25 | 25-19 | 22-25 | 29-31 | NA | 94 - 100
row 12 : Jun 8 | 0-3 | 19-25 | 23-25 | 15-25 | NA | NA | 57 - 75
row 13 : Jun 14 | 2-3 | 18-25 | 23-25 | 25-22 | 25-21 | 09-15 | 100 - 108
row 14 : Jun 14 | 0-3 | 22-25 | 22-25 | 26-28 | NA | NA | 70 - 78
row 15 : Jun 15 | 0-3 | 21-25 | 19-25 | 20-25 | NA | NA | 60 - 75
row 16 : Jun 15 | 0-3 | 21-25 | 15-25 | 21-25 | NA | NA | 57 - 75
row 17 : Jun 21 | 0-3 | 27-29 | 23-25 | 19-25 | NA | NA | 69 - 79
row 18 : Jun 21 | 2-3 | 25-22 | 17-25 | 23-25 | 25-23 | 11-15 | 101 - 110
row 19 : Jun 22 | 3-1 | 23-25 | 27-25 | 25-22 | 25-21 | NA | 100 - 93
row 20 : Jun 22 | 3-1 | 17-25 | 25-22 | 33-31 | 25-17 | NA | 100 - 95
row 21 : Jun 27 | 3-1 | 21-25 | 25-16 | 25-14 | 25-19 | NA | 96 - 74
row 22 : Jun 27 | 1-3 | 23-25 | 28-26 | 22-25 | 22-25 | NA | 95 - 101
row 23 : Jun 28 | 3-1 | 25-16 | 25-23 | 21-25 | 25-18 | NA | 96 - 82
row 24 : Jun 29 | 1-3 | 25-19 | 21-25 | 21-25 | 22-25 | NA | 89 - 94 [/Table] Answer this question based on the above table: What is Set 4, when Set 1 is 19-25, and when Set 2 is 23-25?

Answer: NA
[Table] header: Date | Score | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 | Total row 1 : May 23 | 3-0 | 25-16 | 25-18 | 25-19 | NA | NA | 75 - 53
row 2 : May 24 | 3-0 | 25-15 | 29-27 | 25-19 | NA | NA | 79 - 61
row 3 : May 25 | 3-1 | 25-16 | 23-25 | 25-13 | 25-14 | NA | 98 - 68
row 4 : May 25 | 3-0 | 25-19 | 27-25 | 25-18 | NA | NA | 77 - 62
row 5 : May 30 | 1-3 | 23-25 | 23-25 | 25-19 | 23-25 | NA | 94 - 94
row 6 : May 31 | 2-3 | 25-23 | 19-25 | 25-18 | 24-26 | 09-15 | 102 - 107
row 7 : Jun 1 | 3-1 | 25-21 | 24-26 | 25-19 | 25-17 | NA | 99 - 83
row 8 : Jun 1 | 3-2 | 23-25 | 21-25 | 25-21 | 25-22 | 16-14 | 110 - 107
row 9 : Jun 7 | 1-3 | 19-25 | 24-26 | 25-22 | 16-25 | NA | 84 - 98
row 10 : Jun 7 | 0-3 | 21-25 | 25-27 | 22-25 | NA | NA | 68 - 77
row 11 : Jun 8 | 1-3 | 18-25 | 25-19 | 22-25 | 29-31 | NA | 94 - 100
row 12 : Jun 8 | 0-3 | 19-25 | 23-25 | 15-25 | NA | NA | 57 - 75
row 13 : Jun 14 | 2-3 | 18-25 | 23-25 | 25-22 | 25-21 | 09-15 | 100 - 108
row 14 : Jun 14 | 0-3 | 22-25 | 22-25 | 26-28 | NA | NA | 70 - 78
row 15 : Jun 15 | 0-3 | 21-25 | 19-25 | 20-25 | NA | NA | 60 - 75
row 16 : Jun 15 | 0-3 | 21-25 | 15-25 | 21-25 | NA | NA | 57 - 75
row 17 : Jun 21 | 0-3 | 27-29 | 23-25 | 19-25 | NA | NA | 69 - 79
row 18 : Jun 21 | 2-3 | 25-22 | 17-25 | 23-25 | 25-23 | 11-15 | 101 - 110
row 19 : Jun 22 | 3-1 | 23-25 | 27-25 | 25-22 | 25-21 | NA | 100 - 93
row 20 : Jun 22 | 3-1 | 17-25 | 25-22 | 33-31 | 25-17 | NA | 100 - 95
row 21 : Jun 27 | 3-1 | 21-25 | 25-16 | 25-14 | 25-19 | NA | 96 - 74
row 22 : Jun 27 | 1-3 | 23-25 | 28-26 | 22-25 | 22-25 | NA | 95 - 101
row 23 : Jun 28 | 3-1 | 25-16 | 25-23 | 21-25 | 25-18 | NA | 96 - 82
row 24 : Jun 29 | 1-3 | 25-19 | 21-25 | 21-25 | 22-25 | NA | 89 - 94 [/Table] Answer this question based on the above table: What is Set 1, when Set 4 is NA, when Score is 3-0, and when Set 2 is 29-27?

Answer: 25-15
[Table] header: Date | Score | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 | Total row 1 : May 23 | 3-0 | 25-16 | 25-18 | 25-19 | NA | NA | 75 - 53
row 2 : May 24 | 3-0 | 25-15 | 29-27 | 25-19 | NA | NA | 79 - 61
row 3 : May 25 | 3-1 | 25-16 | 23-25 | 25-13 | 25-14 | NA | 98 - 68
row 4 : May 25 | 3-0 | 25-19 | 27-25 | 25-18 | NA | NA | 77 - 62
row 5 : May 30 | 1-3 | 23-25 | 23-25 | 25-19 | 23-25 | NA | 94 - 94
row 6 : May 31 | 2-3 | 25-23 | 19-25 | 25-18 | 24-26 | 09-15 | 102 - 107
row 7 : Jun 1 | 3-1 | 25-21 | 24-26 | 25-19 | 25-17 | NA | 99 - 83
row 8 : Jun 1 | 3-2 | 23-25 | 21-25 | 25-21 | 25-22 | 16-14 | 110 - 107
row 9 : Jun 7 | 1-3 | 19-25 | 24-26 | 25-22 | 16-25 | NA | 84 - 98
row 10 : Jun 7 | 0-3 | 21-25 | 25-27 | 22-25 | NA | NA | 68 - 77
row 11 : Jun 8 | 1-3 | 18-25 | 25-19 | 22-25 | 29-31 | NA | 94 - 100
row 12 : Jun 8 | 0-3 | 19-25 | 23-25 | 15-25 | NA | NA | 57 - 75
row 13 : Jun 14 | 2-3 | 18-25 | 23-25 | 25-22 | 25-21 | 09-15 | 100 - 108
row 14 : Jun 14 | 0-3 | 22-25 | 22-25 | 26-28 | NA | NA | 70 - 78
row 15 : Jun 15 | 0-3 | 21-25 | 19-25 | 20-25 | NA | NA | 60 - 75
row 16 : Jun 15 | 0-3 | 21-25 | 15-25 | 21-25 | NA | NA | 57 - 75
row 17 : Jun 21 | 0-3 | 27-29 | 23-25 | 19-25 | NA | NA | 69 - 79
row 18 : Jun 21 | 2-3 | 25-22 | 17-25 | 23-25 | 25-23 | 11-15 | 101 - 110
row 19 : Jun 22 | 3-1 | 23-25 | 27-25 | 25-22 | 25-21 | NA | 100 - 93
row 20 : Jun 22 | 3-1 | 17-25 | 25-22 | 33-31 | 25-17 | NA | 100 - 95
row 21 : Jun 27 | 3-1 | 21-25 | 25-16 | 25-14 | 25-19 | NA | 96 - 74
row 22 : Jun 27 | 1-3 | 23-25 | 28-26 | 22-25 | 22-25 | NA | 95 - 101
row 23 : Jun 28 | 3-1 | 25-16 | 25-23 | 21-25 | 25-18 | NA | 96 - 82
row 24 : Jun 29 | 1-3 | 25-19 | 21-25 | 21-25 | 22-25 | NA | 89 - 94 [/Table] Answer this question based on the above table: What is Set 2, when Date is May 31?

Answer: 19-25
[Table] header: Date | Score | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 | Total row 1 : May 23 | 3-0 | 25-16 | 25-18 | 25-19 | NA | NA | 75 - 53
row 2 : May 24 | 3-0 | 25-15 | 29-27 | 25-19 | NA | NA | 79 - 61
row 3 : May 25 | 3-1 | 25-16 | 23-25 | 25-13 | 25-14 | NA | 98 - 68
row 4 : May 25 | 3-0 | 25-19 | 27-25 | 25-18 | NA | NA | 77 - 62
row 5 : May 30 | 1-3 | 23-25 | 23-25 | 25-19 | 23-25 | NA | 94 - 94
row 6 : May 31 | 2-3 | 25-23 | 19-25 | 25-18 | 24-26 | 09-15 | 102 - 107
row 7 : Jun 1 | 3-1 | 25-21 | 24-26 | 25-19 | 25-17 | NA | 99 - 83
row 8 : Jun 1 | 3-2 | 23-25 | 21-25 | 25-21 | 25-22 | 16-14 | 110 - 107
row 9 : Jun 7 | 1-3 | 19-25 | 24-26 | 25-22 | 16-25 | NA | 84 - 98
row 10 : Jun 7 | 0-3 | 21-25 | 25-27 | 22-25 | NA | NA | 68 - 77
row 11 : Jun 8 | 1-3 | 18-25 | 25-19 | 22-25 | 29-31 | NA | 94 - 100
row 12 : Jun 8 | 0-3 | 19-25 | 23-25 | 15-25 | NA | NA | 57 - 75
row 13 : Jun 14 | 2-3 | 18-25 | 23-25 | 25-22 | 25-21 | 09-15 | 100 - 108
row 14 : Jun 14 | 0-3 | 22-25 | 22-25 | 26-28 | NA | NA | 70 - 78
row 15 : Jun 15 | 0-3 | 21-25 | 19-25 | 20-25 | NA | NA | 60 - 75
row 16 : Jun 15 | 0-3 | 21-25 | 15-25 | 21-25 | NA | NA | 57 - 75
row 17 : Jun 21 | 0-3 | 27-29 | 23-25 | 19-25 | NA | NA | 69 - 79
row 18 : Jun 21 | 2-3 | 25-22 | 17-25 | 23-25 | 25-23 | 11-15 | 101 - 110
row 19 : Jun 22 | 3-1 | 23-25 | 27-25 | 25-22 | 25-21 | NA | 100 - 93
row 20 : Jun 22 | 3-1 | 17-25 | 25-22 | 33-31 | 25-17 | NA | 100 - 95
row 21 : Jun 27 | 3-1 | 21-25 | 25-16 | 25-14 | 25-19 | NA | 96 - 74
row 22 : Jun 27 | 1-3 | 23-25 | 28-26 | 22-25 | 22-25 | NA | 95 - 101
row 23 : Jun 28 | 3-1 | 25-16 | 25-23 | 21-25 | 25-18 | NA | 96 - 82
row 24 : Jun 29 | 1-3 | 25-19 | 21-25 | 21-25 | 22-25 | NA | 89 - 94 [/Table] Answer this question based on the above table: What is Set 1, when Set 2 is 17-25?

Answer: 25-22
[Table] header: Date | Score | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 | Total row 1 : May 23 | 3-0 | 25-16 | 25-18 | 25-19 | NA | NA | 75 - 53
row 2 : May 24 | 3-0 | 25-15 | 29-27 | 25-19 | NA | NA | 79 - 61
row 3 : May 25 | 3-1 | 25-16 | 23-25 | 25-13 | 25-14 | NA | 98 - 68
row 4 : May 25 | 3-0 | 25-19 | 27-25 | 25-18 | NA | NA | 77 - 62
row 5 : May 30 | 1-3 | 23-25 | 23-25 | 25-19 | 23-25 | NA | 94 - 94
row 6 : May 31 | 2-3 | 25-23 | 19-25 | 25-18 | 24-26 | 09-15 | 102 - 107
row 7 : Jun 1 | 3-1 | 25-21 | 24-26 | 25-19 | 25-17 | NA | 99 - 83
row 8 : Jun 1 | 3-2 | 23-25 | 21-25 | 25-21 | 25-22 | 16-14 | 110 - 107
row 9 : Jun 7 | 1-3 | 19-25 | 24-26 | 25-22 | 16-25 | NA | 84 - 98
row 10 : Jun 7 | 0-3 | 21-25 | 25-27 | 22-25 | NA | NA | 68 - 77
row 11 : Jun 8 | 1-3 | 18-25 | 25-19 | 22-25 | 29-31 | NA | 94 - 100
row 12 : Jun 8 | 0-3 | 19-25 | 23-25 | 15-25 | NA | NA | 57 - 75
row 13 : Jun 14 | 2-3 | 18-25 | 23-25 | 25-22 | 25-21 | 09-15 | 100 - 108
row 14 : Jun 14 | 0-3 | 22-25 | 22-25 | 26-28 | NA | NA | 70 - 78
row 15 : Jun 15 | 0-3 | 21-25 | 19-25 | 20-25 | NA | NA | 60 - 75
row 16 : Jun 15 | 0-3 | 21-25 | 15-25 | 21-25 | NA | NA | 57 - 75
row 17 : Jun 21 | 0-3 | 27-29 | 23-25 | 19-25 | NA | NA | 69 - 79
row 18 : Jun 21 | 2-3 | 25-22 | 17-25 | 23-25 | 25-23 | 11-15 | 101 - 110
row 19 : Jun 22 | 3-1 | 23-25 | 27-25 | 25-22 | 25-21 | NA | 100 - 93
row 20 : Jun 22 | 3-1 | 17-25 | 25-22 | 33-31 | 25-17 | NA | 100 - 95
row 21 : Jun 27 | 3-1 | 21-25 | 25-16 | 25-14 | 25-19 | NA | 96 - 74
row 22 : Jun 27 | 1-3 | 23-25 | 28-26 | 22-25 | 22-25 | NA | 95 - 101
row 23 : Jun 28 | 3-1 | 25-16 | 25-23 | 21-25 | 25-18 | NA | 96 - 82
row 24 : Jun 29 | 1-3 | 25-19 | 21-25 | 21-25 | 22-25 | NA | 89 - 94 [/Table] Answer this question based on the above table: What is Set 3, when Set 4 is 25-21, and when Date is Jun 14?

Answer: 25-22
[Table] header: Tournament | Wins | Top-5 | Top-10 | Top-25 | Events | Cuts made row 1 : Masters Tournament | 0 | 3 | 5 | 12 | 23 | 17
row 2 : U.S. Open | 0 | 2 | 5 | 11 | 20 | 16
row 3 : The Open Championship | 0 | 1 | 2 | 3 | 14 | 9
row 4 : PGA Championship | 1 | 5 | 6 | 10 | 28 | 20
row 5 : Totals | 1 | 11 | 18 | 36 | 85 | 62 [/Table] Answer this question based on the above table: What were the total number of Events, when the Top-5 was less than 2, and when the Top-25 was less than 3?

Answer: 0.0
[Table] header: Tournament | Wins | Top-5 | Top-10 | Top-25 | Events | Cuts made row 1 : Masters Tournament | 0 | 3 | 5 | 12 | 23 | 17
row 2 : U.S. Open | 0 | 2 | 5 | 11 | 20 | 16
row 3 : The Open Championship | 0 | 1 | 2 | 3 | 14 | 9
row 4 : PGA Championship | 1 | 5 | 6 | 10 | 28 | 20
row 5 : Totals | 1 | 11 | 18 | 36 | 85 | 62 [/Table] Answer this question based on the above table: What was the total number of Top-25 values, for which Cuts made was 62, and for which Wins were less than 1?

Answer: 0.0
[Table] header: Tournament | Wins | Top-5 | Top-10 | Top-25 | Events | Cuts made row 1 : Masters Tournament | 0 | 3 | 5 | 12 | 23 | 17
row 2 : U.S. Open | 0 | 2 | 5 | 11 | 20 | 16
row 3 : The Open Championship | 0 | 1 | 2 | 3 | 14 | 9
row 4 : PGA Championship | 1 | 5 | 6 | 10 | 28 | 20
row 5 : Totals | 1 | 11 | 18 | 36 | 85 | 62 [/Table] Answer this question based on the above table: What was the total number of Cuts made, when Top-5 was greater than 3, and when Events were 85?

Answer: 1.0
[Table] header: Tournament | Wins | Top-5 | Top-10 | Top-25 | Events | Cuts made row 1 : Masters Tournament | 0 | 3 | 5 | 12 | 23 | 17
row 2 : U.S. Open | 0 | 2 | 5 | 11 | 20 | 16
row 3 : The Open Championship | 0 | 1 | 2 | 3 | 14 | 9
row 4 : PGA Championship | 1 | 5 | 6 | 10 | 28 | 20
row 5 : Totals | 1 | 11 | 18 | 36 | 85 | 62 [/Table] Answer this question based on the above table: What was the sum of Events, when Wins were less than 1, when Top-25 was 3, and when Top-5 was less than 1?

Answer: none
[Table] header: Tournament | Wins | Top-5 | Top-10 | Top-25 | Events | Cuts made row 1 : Masters Tournament | 0 | 3 | 5 | 12 | 23 | 17
row 2 : U.S. Open | 0 | 2 | 5 | 11 | 20 | 16
row 3 : The Open Championship | 0 | 1 | 2 | 3 | 14 | 9
row 4 : PGA Championship | 1 | 5 | 6 | 10 | 28 | 20
row 5 : Totals | 1 | 11 | 18 | 36 | 85 | 62 [/Table] Answer this question based on the above table: What was the highest Top-10, when the Top-5 was greater than 3, when the Cuts made were 20, and when the Top-25 was more than 10?

Answer: none
[Table] header: Tournament | Wins | Top-5 | Top-10 | Top-25 | Events | Cuts made row 1 : Masters Tournament | 0 | 3 | 5 | 12 | 23 | 17
row 2 : U.S. Open | 0 | 2 | 5 | 11 | 20 | 16
row 3 : The Open Championship | 0 | 1 | 2 | 3 | 14 | 9
row 4 : PGA Championship | 1 | 5 | 6 | 10 | 28 | 20
row 5 : Totals | 1 | 11 | 18 | 36 | 85 | 62 [/Table] Answer this question based on the above table: What was the lowest Top-10, when the Wins were 0, when the Top-25 was 12, and when the Events were less than 23?

Answer: none
[Table] header: Position | Team | Points | Played | Drawn | Lost | Against | Difference row 1 : 1 | São Paulo | 37 | 20 | 3 | 0 | 20 | 42
row 2 : 2 | Corinthians | 36 | 20 | 0 | 2 | 29 | 33
row 3 : 3 | Portuguesa | 28 | 20 | 2 | 5 | 20 | 26
row 4 : 4 | Santos | 22 | 20 | 4 | 7 | 32 | 5
row 5 : 5 | Palmeiras | 20 | 20 | 4 | 8 | 31 | 6
row 6 : 6 | Portuguesa Santista | 17 | 20 | 3 | 10 | 51 | - 10
row 7 : 7 | Ypiranga-SP | 14 | 20 | 2 | 12 | 48 | - 13
row 8 : 8 | Comercial-SP | 14 | 20 | 6 | 10 | 55 | - 17
row 9 : 9 | São Paulo Railway | 12 | 20 | 2 | 13 | 46 | - 19
row 10 : 10 | Juventus | 11 | 20 | 3 | 13 | 60 | - 28
row 11 : 11 | Jabaquara | 9 | 20 | 1 | 15 | 52 | - 25 [/Table] Answer this question based on the above table: What is the average Against when the drawn is more than 2 and the Difference of- 17, and a Played smaller than 20?

Answer: none
[Table] header: Position | Team | Points | Played | Drawn | Lost | Against | Difference row 1 : 1 | São Paulo | 37 | 20 | 3 | 0 | 20 | 42
row 2 : 2 | Corinthians | 36 | 20 | 0 | 2 | 29 | 33
row 3 : 3 | Portuguesa | 28 | 20 | 2 | 5 | 20 | 26
row 4 : 4 | Santos | 22 | 20 | 4 | 7 | 32 | 5
row 5 : 5 | Palmeiras | 20 | 20 | 4 | 8 | 31 | 6
row 6 : 6 | Portuguesa Santista | 17 | 20 | 3 | 10 | 51 | - 10
row 7 : 7 | Ypiranga-SP | 14 | 20 | 2 | 12 | 48 | - 13
row 8 : 8 | Comercial-SP | 14 | 20 | 6 | 10 | 55 | - 17
row 9 : 9 | São Paulo Railway | 12 | 20 | 2 | 13 | 46 | - 19
row 10 : 10 | Juventus | 11 | 20 | 3 | 13 | 60 | - 28
row 11 : 11 | Jabaquara | 9 | 20 | 1 | 15 | 52 | - 25 [/Table] Answer this question based on the above table: What is the number of Position when the team was são paulo railway and the against is less than 46?

Answer: 0.0
[Table] header: Position | Team | Points | Played | Drawn | Lost | Against | Difference row 1 : 1 | São Paulo | 37 | 20 | 3 | 0 | 20 | 42
row 2 : 2 | Corinthians | 36 | 20 | 0 | 2 | 29 | 33
row 3 : 3 | Portuguesa | 28 | 20 | 2 | 5 | 20 | 26
row 4 : 4 | Santos | 22 | 20 | 4 | 7 | 32 | 5
row 5 : 5 | Palmeiras | 20 | 20 | 4 | 8 | 31 | 6
row 6 : 6 | Portuguesa Santista | 17 | 20 | 3 | 10 | 51 | - 10
row 7 : 7 | Ypiranga-SP | 14 | 20 | 2 | 12 | 48 | - 13
row 8 : 8 | Comercial-SP | 14 | 20 | 6 | 10 | 55 | - 17
row 9 : 9 | São Paulo Railway | 12 | 20 | 2 | 13 | 46 | - 19
row 10 : 10 | Juventus | 11 | 20 | 3 | 13 | 60 | - 28
row 11 : 11 | Jabaquara | 9 | 20 | 1 | 15 | 52 | - 25 [/Table] Answer this question based on the above table: What is the Team when the lost is less than 13, and the position is less than 4, with a Difference of 42?

Answer: São Paulo
[Table] header: Position | Team | Points | Played | Drawn | Lost | Against | Difference row 1 : 1 | São Paulo | 37 | 20 | 3 | 0 | 20 | 42
row 2 : 2 | Corinthians | 36 | 20 | 0 | 2 | 29 | 33
row 3 : 3 | Portuguesa | 28 | 20 | 2 | 5 | 20 | 26
row 4 : 4 | Santos | 22 | 20 | 4 | 7 | 32 | 5
row 5 : 5 | Palmeiras | 20 | 20 | 4 | 8 | 31 | 6
row 6 : 6 | Portuguesa Santista | 17 | 20 | 3 | 10 | 51 | - 10
row 7 : 7 | Ypiranga-SP | 14 | 20 | 2 | 12 | 48 | - 13
row 8 : 8 | Comercial-SP | 14 | 20 | 6 | 10 | 55 | - 17
row 9 : 9 | São Paulo Railway | 12 | 20 | 2 | 13 | 46 | - 19
row 10 : 10 | Juventus | 11 | 20 | 3 | 13 | 60 | - 28
row 11 : 11 | Jabaquara | 9 | 20 | 1 | 15 | 52 | - 25 [/Table] Answer this question based on the above table: What is the sum of Played when the drawn is less than 2 and against is more than 29?

Answer: 20.0
[Table] header: Peel | Wins | Byes | Losses | Draws | Against row 1 : Waroona | 17 | 0 | 1 | 0 | 887
row 2 : Rockingham | 15 | 0 | 3 | 0 | 1158
row 3 : Pinjarra | 13 | 0 | 5 | 0 | 1484
row 4 : Mundijong Centrals | 9 | 0 | 9 | 0 | 1790
row 5 : South Mandurah | 7 | 0 | 11 | 0 | 1665
row 6 : Mandurah | 6 | 0 | 12 | 0 | 1741
row 7 : Baldivis | 3 | 0 | 15 | 0 | 2393
row 8 : Halls Head | 2 | 0 | 16 | 0 | 2101 [/Table] Answer this question based on the above table: Which Wins has a Byes larger than 0?

Answer: none
[Table] header: Peel | Wins | Byes | Losses | Draws | Against row 1 : Waroona | 17 | 0 | 1 | 0 | 887
row 2 : Rockingham | 15 | 0 | 3 | 0 | 1158
row 3 : Pinjarra | 13 | 0 | 5 | 0 | 1484
row 4 : Mundijong Centrals | 9 | 0 | 9 | 0 | 1790
row 5 : South Mandurah | 7 | 0 | 11 | 0 | 1665
row 6 : Mandurah | 6 | 0 | 12 | 0 | 1741
row 7 : Baldivis | 3 | 0 | 15 | 0 | 2393
row 8 : Halls Head | 2 | 0 | 16 | 0 | 2101 [/Table] Answer this question based on the above table: Which Against has a Peel of waroona, and a Byes larger than 0?

Answer: none
[Table] header: Peel | Wins | Byes | Losses | Draws | Against row 1 : Waroona | 17 | 0 | 1 | 0 | 887
row 2 : Rockingham | 15 | 0 | 3 | 0 | 1158
row 3 : Pinjarra | 13 | 0 | 5 | 0 | 1484
row 4 : Mundijong Centrals | 9 | 0 | 9 | 0 | 1790
row 5 : South Mandurah | 7 | 0 | 11 | 0 | 1665
row 6 : Mandurah | 6 | 0 | 12 | 0 | 1741
row 7 : Baldivis | 3 | 0 | 15 | 0 | 2393
row 8 : Halls Head | 2 | 0 | 16 | 0 | 2101 [/Table] Answer this question based on the above table: Which Draws has a Wins smaller than 17, and an Against smaller than 1158?

Answer: 0.0
[Table] header: Peel | Wins | Byes | Losses | Draws | Against row 1 : Waroona | 17 | 0 | 1 | 0 | 887
row 2 : Rockingham | 15 | 0 | 3 | 0 | 1158
row 3 : Pinjarra | 13 | 0 | 5 | 0 | 1484
row 4 : Mundijong Centrals | 9 | 0 | 9 | 0 | 1790
row 5 : South Mandurah | 7 | 0 | 11 | 0 | 1665
row 6 : Mandurah | 6 | 0 | 12 | 0 | 1741
row 7 : Baldivis | 3 | 0 | 15 | 0 | 2393
row 8 : Halls Head | 2 | 0 | 16 | 0 | 2101 [/Table] Answer this question based on the above table: Which Draws has an Against larger than 1158, and a Wins of 9, and a Losses smaller than 9?

Answer: none
[Table] header: Peel | Wins | Byes | Losses | Draws | Against row 1 : Waroona | 17 | 0 | 1 | 0 | 887
row 2 : Rockingham | 15 | 0 | 3 | 0 | 1158
row 3 : Pinjarra | 13 | 0 | 5 | 0 | 1484
row 4 : Mundijong Centrals | 9 | 0 | 9 | 0 | 1790
row 5 : South Mandurah | 7 | 0 | 11 | 0 | 1665
row 6 : Mandurah | 6 | 0 | 12 | 0 | 1741
row 7 : Baldivis | 3 | 0 | 15 | 0 | 2393
row 8 : Halls Head | 2 | 0 | 16 | 0 | 2101 [/Table] Answer this question based on the above table: Which Losses has a Wins of 6, and an Against smaller than 1741?

Answer: none
[Table] header: Name | Years | Tests | Drew | Lost | Win percentage row 1 : Alex McDonald | 1949 | 4 | 0 | 4 | 0%
row 2 : Tom Morrison | 1950, 55–56 | 12 | 1 | 3 | 66.7%
row 3 : Len Clode | 1951 | 3 | 0 | 0 | 100%
row 4 : Arthur Marslin | 1953–1954 | 5 | 0 | 2 | 60%
row 5 : Dick Everest | 1957 | 2 | 0 | 0 | 100%
row 6 : Jack Sullivan | 1958–1960 | 11 | 1 | 4 | 54.5%
row 7 : Neil McPhail | 1961–1965 | 20 | 2 | 2 | 80%
row 8 : Ron Bush | 1962 | 2 | 0 | 0 | 100%
row 9 : Sir Fred Allen | 1966–1968 | 14 | 0 | 0 | 100%
row 10 : Ivan Vodanovich | 1969–1971 | 10 | 1 | 5 | 40%
row 11 : Bob Duff | 1972–1973 | 8 | 1 | 1 | 75%
row 12 : John Stewart | 1974–1976 | 11 | 1 | 4 | 54.5%
row 13 : Jack Gleeson | 1977–1978 | 13 | 0 | 3 | 76.9%
row 14 : Eric Watson | 1979–1980 | 9 | 0 | 4 | 55.5%
row 15 : Peter Burke | 1981–1982 | 11 | 0 | 2 | 81.8%
row 16 : Bryce Rope | 1983–1984 | 12 | 1 | 2 | 75%
row 17 : Sir Brian Lochore | 1985–1987 | 18 | 1 | 3 | 77.7%
row 18 : Alex Wyllie | 1988–1991 | 29 | 1 | 3 | 86.2%
row 19 : Laurie Mains | 1992–1995 | 34 | 1 | 10 | 67.6%
row 20 : John Hart | 1996–1999 | 41 | 1 | 9 | 75.6%
row 21 : Wayne Smith | 2000–2001 | 17 | 0 | 5 | 70.5%
row 22 : John Mitchell | 2002–2003 | 28 | 1 | 4 | 82.1%
row 23 : Sir Graham Henry | 2004–2011 | 103 | 0 | 15 | 85.4%
row 24 : Steve Hansen | 2012– | 25 | 1 | 1 | 92% [/Table] Answer this question based on the above table: What year was the Win percentage 60%?

Answer: 1953–1954
[Table] header: Name | Years | Tests | Drew | Lost | Win percentage row 1 : Alex McDonald | 1949 | 4 | 0 | 4 | 0%
row 2 : Tom Morrison | 1950, 55–56 | 12 | 1 | 3 | 66.7%
row 3 : Len Clode | 1951 | 3 | 0 | 0 | 100%
row 4 : Arthur Marslin | 1953–1954 | 5 | 0 | 2 | 60%
row 5 : Dick Everest | 1957 | 2 | 0 | 0 | 100%
row 6 : Jack Sullivan | 1958–1960 | 11 | 1 | 4 | 54.5%
row 7 : Neil McPhail | 1961–1965 | 20 | 2 | 2 | 80%
row 8 : Ron Bush | 1962 | 2 | 0 | 0 | 100%
row 9 : Sir Fred Allen | 1966–1968 | 14 | 0 | 0 | 100%
row 10 : Ivan Vodanovich | 1969–1971 | 10 | 1 | 5 | 40%
row 11 : Bob Duff | 1972–1973 | 8 | 1 | 1 | 75%
row 12 : John Stewart | 1974–1976 | 11 | 1 | 4 | 54.5%
row 13 : Jack Gleeson | 1977–1978 | 13 | 0 | 3 | 76.9%
row 14 : Eric Watson | 1979–1980 | 9 | 0 | 4 | 55.5%
row 15 : Peter Burke | 1981–1982 | 11 | 0 | 2 | 81.8%
row 16 : Bryce Rope | 1983–1984 | 12 | 1 | 2 | 75%
row 17 : Sir Brian Lochore | 1985–1987 | 18 | 1 | 3 | 77.7%
row 18 : Alex Wyllie | 1988–1991 | 29 | 1 | 3 | 86.2%
row 19 : Laurie Mains | 1992–1995 | 34 | 1 | 10 | 67.6%
row 20 : John Hart | 1996–1999 | 41 | 1 | 9 | 75.6%
row 21 : Wayne Smith | 2000–2001 | 17 | 0 | 5 | 70.5%
row 22 : John Mitchell | 2002–2003 | 28 | 1 | 4 | 82.1%
row 23 : Sir Graham Henry | 2004–2011 | 103 | 0 | 15 | 85.4%
row 24 : Steve Hansen | 2012– | 25 | 1 | 1 | 92% [/Table] Answer this question based on the above table: What is the total number of Tests when the lost is less than 9 for sir fred allen?

Answer: 1.0
[Table] header: Name | Years | Tests | Drew | Lost | Win percentage row 1 : Alex McDonald | 1949 | 4 | 0 | 4 | 0%
row 2 : Tom Morrison | 1950, 55–56 | 12 | 1 | 3 | 66.7%
row 3 : Len Clode | 1951 | 3 | 0 | 0 | 100%
row 4 : Arthur Marslin | 1953–1954 | 5 | 0 | 2 | 60%
row 5 : Dick Everest | 1957 | 2 | 0 | 0 | 100%
row 6 : Jack Sullivan | 1958–1960 | 11 | 1 | 4 | 54.5%
row 7 : Neil McPhail | 1961–1965 | 20 | 2 | 2 | 80%
row 8 : Ron Bush | 1962 | 2 | 0 | 0 | 100%
row 9 : Sir Fred Allen | 1966–1968 | 14 | 0 | 0 | 100%
row 10 : Ivan Vodanovich | 1969–1971 | 10 | 1 | 5 | 40%
row 11 : Bob Duff | 1972–1973 | 8 | 1 | 1 | 75%
row 12 : John Stewart | 1974–1976 | 11 | 1 | 4 | 54.5%
row 13 : Jack Gleeson | 1977–1978 | 13 | 0 | 3 | 76.9%
row 14 : Eric Watson | 1979–1980 | 9 | 0 | 4 | 55.5%
row 15 : Peter Burke | 1981–1982 | 11 | 0 | 2 | 81.8%
row 16 : Bryce Rope | 1983–1984 | 12 | 1 | 2 | 75%
row 17 : Sir Brian Lochore | 1985–1987 | 18 | 1 | 3 | 77.7%
row 18 : Alex Wyllie | 1988–1991 | 29 | 1 | 3 | 86.2%
row 19 : Laurie Mains | 1992–1995 | 34 | 1 | 10 | 67.6%
row 20 : John Hart | 1996–1999 | 41 | 1 | 9 | 75.6%
row 21 : Wayne Smith | 2000–2001 | 17 | 0 | 5 | 70.5%
row 22 : John Mitchell | 2002–2003 | 28 | 1 | 4 | 82.1%
row 23 : Sir Graham Henry | 2004–2011 | 103 | 0 | 15 | 85.4%
row 24 : Steve Hansen | 2012– | 25 | 1 | 1 | 92% [/Table] Answer this question based on the above table: What is the Win percentage where there were 5 lost and 0 is drew?

Answer: 70.5%
[Table] header: Name | Campeonato Paulista | Copa Libertadores | Campeonato Brasileiro | Copa Sudamericana | Others | Total row 1 : Borges | 3 | 1 | 7 | 2 | 0 | 13
row 2 : Aloísio | 3 | 1 | 6 | 1 | 0 | 11
row 3 : Hugo | 7 | 1 | 3 | 0 | 0 | 11
row 4 : Rogério Ceni | 2 | 0 | 7 | 1 | 0 | 10
row 5 : Leandro | 3 | 1 | 4 | 0 | 0 | 8
row 6 : Alex Silva | 3 | 2 | 2 | 0 | 0 | 7
row 7 : Dagoberto | 0 | 0 | 7 | 0 | 0 | 7
row 8 : Jorge Wagner | 2 | 0 | 4 | 0 | 0 | 6
row 9 : Richarlyson | 3 | 1 | 2 | 0 | 0 | 6
row 10 : Souza | 3 | 1 | 2 | 0 | 0 | 6
row 11 : Hernanes | 1 | 0 | 3 | 1 | 0 | 5
row 12 : Lenílson | 5 | 0 | 0 | 0 | 0 | 5
row 13 : Júnior | 2 | 1 | 0 | 0 | 0 | 4
row 14 : Miranda | 0 | 2 | 2 | 0 | 0 | 4
row 15 : Marcel | 2 | 0 | 0 | 0 | 1 | 3
row 16 : Breno | 0 | 0 | 2 | 0 | 0 | 2
row 17 : Ilsinho | 2 | 0 | 0 | 0 | 0 | 2
row 18 : Jadílson | 1 | 1 | 0 | 0 | 0 | 2
row 19 : André Dias | 0 | 0 | 1 | 0 | 0 | 1
row 20 : Diego Tardelli | 0 | 0 | 1 | 0 | 0 | 1
row 21 : Francisco Alex | 0 | 0 | 1 | 0 | 0 | 1
row 22 : Josué | 1 | 0 | 0 | 0 | 0 | 1
row 23 : Own goals | 0 | 0 | 1 | 0 | 0 | 1
row 24 : Total | 43 | 12 | 55 | 5 | 1 | 116 [/Table] Answer this question based on the above table: How many Campeonato Paulistas had a campeonato brasileiro of more than 2, an others number of more than 0, and a copa sudamericana of more than 5?

Answer: 0.0
[Table] header: Name | Campeonato Paulista | Copa Libertadores | Campeonato Brasileiro | Copa Sudamericana | Others | Total row 1 : Borges | 3 | 1 | 7 | 2 | 0 | 13
row 2 : Aloísio | 3 | 1 | 6 | 1 | 0 | 11
row 3 : Hugo | 7 | 1 | 3 | 0 | 0 | 11
row 4 : Rogério Ceni | 2 | 0 | 7 | 1 | 0 | 10
row 5 : Leandro | 3 | 1 | 4 | 0 | 0 | 8
row 6 : Alex Silva | 3 | 2 | 2 | 0 | 0 | 7
row 7 : Dagoberto | 0 | 0 | 7 | 0 | 0 | 7
row 8 : Jorge Wagner | 2 | 0 | 4 | 0 | 0 | 6
row 9 : Richarlyson | 3 | 1 | 2 | 0 | 0 | 6
row 10 : Souza | 3 | 1 | 2 | 0 | 0 | 6
row 11 : Hernanes | 1 | 0 | 3 | 1 | 0 | 5
row 12 : Lenílson | 5 | 0 | 0 | 0 | 0 | 5
row 13 : Júnior | 2 | 1 | 0 | 0 | 0 | 4
row 14 : Miranda | 0 | 2 | 2 | 0 | 0 | 4
row 15 : Marcel | 2 | 0 | 0 | 0 | 1 | 3
row 16 : Breno | 0 | 0 | 2 | 0 | 0 | 2
row 17 : Ilsinho | 2 | 0 | 0 | 0 | 0 | 2
row 18 : Jadílson | 1 | 1 | 0 | 0 | 0 | 2
row 19 : André Dias | 0 | 0 | 1 | 0 | 0 | 1
row 20 : Diego Tardelli | 0 | 0 | 1 | 0 | 0 | 1
row 21 : Francisco Alex | 0 | 0 | 1 | 0 | 0 | 1
row 22 : Josué | 1 | 0 | 0 | 0 | 0 | 1
row 23 : Own goals | 0 | 0 | 1 | 0 | 0 | 1
row 24 : Total | 43 | 12 | 55 | 5 | 1 | 116 [/Table] Answer this question based on the above table: What is the largest copa sudamericana number when the others number is less than 0?

Answer: none
[Table] header: Name | Novelty | Status | Authors | Unit | Location row 1 : Austriadactylus | gen et sp nov | Valid | Dalla Vecchia, Wild,  | Seefelder Beds | Austria
row 2 : Hatzegopteryx | gen et sp nov | Valid | Buffetaut, Grigorescu, & C | Densuș-Ciula Formation | Romania
row 3 : Jeholopterus | gen et sp nov | Valid | Wang & Zhou | Daohugou Beds | China
row 4 : Piksi | gen et sp nov | Valid | Varricchio | Two Medicine Formation | United States
row 5 : Pterorhynchus | gen et sp nov | Valid | Czerkas & Ji | Daohugou Beds | China
row 6 : Thalassodromeus | gen et sp nov | Valid | Kellner & Campos | Santana Formation | Brazil
row 7 : Utahdactylus | gen et sp nov | Valid | Czerkas & Mickelson | Morrison Formation , Utah | USA [/Table] Answer this question based on the above table: Which Unit has Authors of dalla vecchia, wild, & reitner?

Answer: none
[Table] header: Name | Novelty | Status | Authors | Unit | Location row 1 : Austriadactylus | gen et sp nov | Valid | Dalla Vecchia, Wild,  | Seefelder Beds | Austria
row 2 : Hatzegopteryx | gen et sp nov | Valid | Buffetaut, Grigorescu, & C | Densuș-Ciula Formation | Romania
row 3 : Jeholopterus | gen et sp nov | Valid | Wang & Zhou | Daohugou Beds | China
row 4 : Piksi | gen et sp nov | Valid | Varricchio | Two Medicine Formation | United States
row 5 : Pterorhynchus | gen et sp nov | Valid | Czerkas & Ji | Daohugou Beds | China
row 6 : Thalassodromeus | gen et sp nov | Valid | Kellner & Campos | Santana Formation | Brazil
row 7 : Utahdactylus | gen et sp nov | Valid | Czerkas & Mickelson | Morrison Formation , Utah | USA [/Table] Answer this question based on the above table: Where is two medicine formation?

Answer: United States
[Table] header: Name | Novelty | Status | Authors | Unit | Location row 1 : Austriadactylus | gen et sp nov | Valid | Dalla Vecchia, Wild,  | Seefelder Beds | Austria
row 2 : Hatzegopteryx | gen et sp nov | Valid | Buffetaut, Grigorescu, & C | Densuș-Ciula Formation | Romania
row 3 : Jeholopterus | gen et sp nov | Valid | Wang & Zhou | Daohugou Beds | China
row 4 : Piksi | gen et sp nov | Valid | Varricchio | Two Medicine Formation | United States
row 5 : Pterorhynchus | gen et sp nov | Valid | Czerkas & Ji | Daohugou Beds | China
row 6 : Thalassodromeus | gen et sp nov | Valid | Kellner & Campos | Santana Formation | Brazil
row 7 : Utahdactylus | gen et sp nov | Valid | Czerkas & Mickelson | Morrison Formation , Utah | USA [/Table] Answer this question based on the above table: What is varricchio's unit?

Answer: Two Medicine Formation
[Table] header: Name | Novelty | Status | Authors | Unit | Location row 1 : Austriadactylus | gen et sp nov | Valid | Dalla Vecchia, Wild,  | Seefelder Beds | Austria
row 2 : Hatzegopteryx | gen et sp nov | Valid | Buffetaut, Grigorescu, & C | Densuș-Ciula Formation | Romania
row 3 : Jeholopterus | gen et sp nov | Valid | Wang & Zhou | Daohugou Beds | China
row 4 : Piksi | gen et sp nov | Valid | Varricchio | Two Medicine Formation | United States
row 5 : Pterorhynchus | gen et sp nov | Valid | Czerkas & Ji | Daohugou Beds | China
row 6 : Thalassodromeus | gen et sp nov | Valid | Kellner & Campos | Santana Formation | Brazil
row 7 : Utahdactylus | gen et sp nov | Valid | Czerkas & Mickelson | Morrison Formation , Utah | USA [/Table] Answer this question based on the above table: Which authors have a Unit of densuș-ciula formation?

Answer: Buffetaut, Grigorescu, & C
[Table] header: Name | Novelty | Status | Authors | Unit | Location row 1 : Austriadactylus | gen et sp nov | Valid | Dalla Vecchia, Wild,  | Seefelder Beds | Austria
row 2 : Hatzegopteryx | gen et sp nov | Valid | Buffetaut, Grigorescu, & C | Densuș-Ciula Formation | Romania
row 3 : Jeholopterus | gen et sp nov | Valid | Wang & Zhou | Daohugou Beds | China
row 4 : Piksi | gen et sp nov | Valid | Varricchio | Two Medicine Formation | United States
row 5 : Pterorhynchus | gen et sp nov | Valid | Czerkas & Ji | Daohugou Beds | China
row 6 : Thalassodromeus | gen et sp nov | Valid | Kellner & Campos | Santana Formation | Brazil
row 7 : Utahdactylus | gen et sp nov | Valid | Czerkas & Mickelson | Morrison Formation , Utah | USA [/Table] Answer this question based on the above table: Which Status has a Unit of daohugou beds?

Answer: Valid, Valid
[Table] header: Name | Novelty | Status | Authors | Unit | Location row 1 : Austriadactylus | gen et sp nov | Valid | Dalla Vecchia, Wild,  | Seefelder Beds | Austria
row 2 : Hatzegopteryx | gen et sp nov | Valid | Buffetaut, Grigorescu, & C | Densuș-Ciula Formation | Romania
row 3 : Jeholopterus | gen et sp nov | Valid | Wang & Zhou | Daohugou Beds | China
row 4 : Piksi | gen et sp nov | Valid | Varricchio | Two Medicine Formation | United States
row 5 : Pterorhynchus | gen et sp nov | Valid | Czerkas & Ji | Daohugou Beds | China
row 6 : Thalassodromeus | gen et sp nov | Valid | Kellner & Campos | Santana Formation | Brazil
row 7 : Utahdactylus | gen et sp nov | Valid | Czerkas & Mickelson | Morrison Formation , Utah | USA [/Table] Answer this question based on the above table: What is varricchio's status?

Answer: Valid
[Table] header: Season | Games | Lost | Tied | Points | Goals for | Goals against | Coach row 1 : 1965–66 | 70 | 19 | 5 | 97 | 376 | 314 | Morris Lallo
row 2 : 1966–67 | 72 | 43 | 2 | 56 | 262 | 299 | Morris Lallo
row 3 : 1967–68 | 72 | 17 | 12 | 98 | 305 | 216 | Morris Lallo
row 4 : 1968–69 | 72 | 29 | 9 | 77 | 332 | 287 | Morris Lallo
row 5 : 1969–70 | 72 | 18 | 8 | 100 | 356 | 271 | Morris Lallo
row 6 : 1970–71 | 72 | 24 | 5 | 91 | 300 | 212 | Morris Lallo
row 7 : 1971–72 | 72 | 21 | 2 | 100 | 328 | 231 | Morris Lallo
row 8 : 1972–73 | 74 | 34 | 4 | 76 | 302 | 259 | Bryan McLay † Morris Lallo
row 9 : 1973–74 | 76 | 26 | 6 | 94 | 272 | 234 | Morris Lallo
row 10 : 1974–75 | 75 | 24 | 3 | 99 | 325 | 240 | Morris Lallo
row 11 : 1975–76 | 78 | 31 | 13 | 81 | 260 | 238 | Morris Lallo
row 12 : 1976–77 | 78 | 36 | 11 | 73 | 294 | 322 | Bryan McLay † Morris Lallo
row 13 : 1977–78 | 80 | 42 | 11 | 65 | 290 | 322 | Bryan McLay † Morris Lallo
row 14 : 1978–79 | 80 | 58 | 7 | 37 | 275 | 475 | Gerry Moore
row 15 : 1979–80 | 80 | 43 | 8 | 66 | 317 | 330 | Gerry Moore
row 16 : 1980–81 | 82 | 45 | 9 | 65 | 274 | 351 | Gerry Moore † Ted Garvin ‡
row 17 : 1981–82 | 82 | 49 | 3 | 64 | 319 | 411 | Poul Popiel † Gerry
row 18 : 1982–83 | 82 | 41 | 12 | 71 | 335 | 354 | Doug McKay
row 19 : 1983–84 | 82 | 58 | 5 | 46 | 282 | 435 | Doug McKay [/Table] Answer this question based on the above table: What is the points average when the tied is greater than 8, less than 82 games and the coach of Bryan Mclay † Morris Lallo ‡ Gerry Moore ‡, and greater than 322 goals?

Answer: none
[Table] header: Season | Games | Lost | Tied | Points | Goals for | Goals against | Coach row 1 : 1965–66 | 70 | 19 | 5 | 97 | 376 | 314 | Morris Lallo
row 2 : 1966–67 | 72 | 43 | 2 | 56 | 262 | 299 | Morris Lallo
row 3 : 1967–68 | 72 | 17 | 12 | 98 | 305 | 216 | Morris Lallo
row 4 : 1968–69 | 72 | 29 | 9 | 77 | 332 | 287 | Morris Lallo
row 5 : 1969–70 | 72 | 18 | 8 | 100 | 356 | 271 | Morris Lallo
row 6 : 1970–71 | 72 | 24 | 5 | 91 | 300 | 212 | Morris Lallo
row 7 : 1971–72 | 72 | 21 | 2 | 100 | 328 | 231 | Morris Lallo
row 8 : 1972–73 | 74 | 34 | 4 | 76 | 302 | 259 | Bryan McLay † Morris Lallo
row 9 : 1973–74 | 76 | 26 | 6 | 94 | 272 | 234 | Morris Lallo
row 10 : 1974–75 | 75 | 24 | 3 | 99 | 325 | 240 | Morris Lallo
row 11 : 1975–76 | 78 | 31 | 13 | 81 | 260 | 238 | Morris Lallo
row 12 : 1976–77 | 78 | 36 | 11 | 73 | 294 | 322 | Bryan McLay † Morris Lallo
row 13 : 1977–78 | 80 | 42 | 11 | 65 | 290 | 322 | Bryan McLay † Morris Lallo
row 14 : 1978–79 | 80 | 58 | 7 | 37 | 275 | 475 | Gerry Moore
row 15 : 1979–80 | 80 | 43 | 8 | 66 | 317 | 330 | Gerry Moore
row 16 : 1980–81 | 82 | 45 | 9 | 65 | 274 | 351 | Gerry Moore † Ted Garvin ‡
row 17 : 1981–82 | 82 | 49 | 3 | 64 | 319 | 411 | Poul Popiel † Gerry
row 18 : 1982–83 | 82 | 41 | 12 | 71 | 335 | 354 | Doug McKay
row 19 : 1983–84 | 82 | 58 | 5 | 46 | 282 | 435 | Doug McKay [/Table] Answer this question based on the above table: What are the most games when the points are 100 and goals for less than 356?

Answer: 72.0
[Table] header: Season | Games | Lost | Tied | Points | Goals for | Goals against | Coach row 1 : 1965–66 | 70 | 19 | 5 | 97 | 376 | 314 | Morris Lallo
row 2 : 1966–67 | 72 | 43 | 2 | 56 | 262 | 299 | Morris Lallo
row 3 : 1967–68 | 72 | 17 | 12 | 98 | 305 | 216 | Morris Lallo
row 4 : 1968–69 | 72 | 29 | 9 | 77 | 332 | 287 | Morris Lallo
row 5 : 1969–70 | 72 | 18 | 8 | 100 | 356 | 271 | Morris Lallo
row 6 : 1970–71 | 72 | 24 | 5 | 91 | 300 | 212 | Morris Lallo
row 7 : 1971–72 | 72 | 21 | 2 | 100 | 328 | 231 | Morris Lallo
row 8 : 1972–73 | 74 | 34 | 4 | 76 | 302 | 259 | Bryan McLay † Morris Lallo
row 9 : 1973–74 | 76 | 26 | 6 | 94 | 272 | 234 | Morris Lallo
row 10 : 1974–75 | 75 | 24 | 3 | 99 | 325 | 240 | Morris Lallo
row 11 : 1975–76 | 78 | 31 | 13 | 81 | 260 | 238 | Morris Lallo
row 12 : 1976–77 | 78 | 36 | 11 | 73 | 294 | 322 | Bryan McLay † Morris Lallo
row 13 : 1977–78 | 80 | 42 | 11 | 65 | 290 | 322 | Bryan McLay † Morris Lallo
row 14 : 1978–79 | 80 | 58 | 7 | 37 | 275 | 475 | Gerry Moore
row 15 : 1979–80 | 80 | 43 | 8 | 66 | 317 | 330 | Gerry Moore
row 16 : 1980–81 | 82 | 45 | 9 | 65 | 274 | 351 | Gerry Moore † Ted Garvin ‡
row 17 : 1981–82 | 82 | 49 | 3 | 64 | 319 | 411 | Poul Popiel † Gerry
row 18 : 1982–83 | 82 | 41 | 12 | 71 | 335 | 354 | Doug McKay
row 19 : 1983–84 | 82 | 58 | 5 | 46 | 282 | 435 | Doug McKay [/Table] Answer this question based on the above table: What is the most points when the goals against are 354 and games less than 82?

Answer: none
[Table] header: Season | Games | Lost | Tied | Points | Goals for | Goals against | Coach row 1 : 1965–66 | 70 | 19 | 5 | 97 | 376 | 314 | Morris Lallo
row 2 : 1966–67 | 72 | 43 | 2 | 56 | 262 | 299 | Morris Lallo
row 3 : 1967–68 | 72 | 17 | 12 | 98 | 305 | 216 | Morris Lallo
row 4 : 1968–69 | 72 | 29 | 9 | 77 | 332 | 287 | Morris Lallo
row 5 : 1969–70 | 72 | 18 | 8 | 100 | 356 | 271 | Morris Lallo
row 6 : 1970–71 | 72 | 24 | 5 | 91 | 300 | 212 | Morris Lallo
row 7 : 1971–72 | 72 | 21 | 2 | 100 | 328 | 231 | Morris Lallo
row 8 : 1972–73 | 74 | 34 | 4 | 76 | 302 | 259 | Bryan McLay † Morris Lallo
row 9 : 1973–74 | 76 | 26 | 6 | 94 | 272 | 234 | Morris Lallo
row 10 : 1974–75 | 75 | 24 | 3 | 99 | 325 | 240 | Morris Lallo
row 11 : 1975–76 | 78 | 31 | 13 | 81 | 260 | 238 | Morris Lallo
row 12 : 1976–77 | 78 | 36 | 11 | 73 | 294 | 322 | Bryan McLay † Morris Lallo
row 13 : 1977–78 | 80 | 42 | 11 | 65 | 290 | 322 | Bryan McLay † Morris Lallo
row 14 : 1978–79 | 80 | 58 | 7 | 37 | 275 | 475 | Gerry Moore
row 15 : 1979–80 | 80 | 43 | 8 | 66 | 317 | 330 | Gerry Moore
row 16 : 1980–81 | 82 | 45 | 9 | 65 | 274 | 351 | Gerry Moore † Ted Garvin ‡
row 17 : 1981–82 | 82 | 49 | 3 | 64 | 319 | 411 | Poul Popiel † Gerry
row 18 : 1982–83 | 82 | 41 | 12 | 71 | 335 | 354 | Doug McKay
row 19 : 1983–84 | 82 | 58 | 5 | 46 | 282 | 435 | Doug McKay [/Table] Answer this question based on the above table: For games less than 70 and goals for greater than 335 what is the most points?

Answer: none
[Table] header: Rank | Gold | Silver | Bronze | Total row 1 : 1 | 4 | 2 | 2 | 8
row 2 : 2 | 3 | 3 | 2 | 8
row 3 : 3 | 3 | 1 | 1 | 5
row 4 : 4 | 2 | 2 | – | 4
row 5 : 5 | 1 | 3 | 1 | 5
row 6 : 6 | 1 | 1 | 1 | 3
row 7 : 7 | – | 1 | – | 1
row 8 : 9 | – | – | 5 | 5
row 9 : 10 | – | – | 1 | 1 [/Table] Answer this question based on the above table: What is Gold, when Total is less than 4, when Silver is 1, and when Bronze is 1?

Answer: 1.0
[Table] header: Rank | Gold | Silver | Bronze | Total row 1 : 1 | 4 | 2 | 2 | 8
row 2 : 2 | 3 | 3 | 2 | 8
row 3 : 3 | 3 | 1 | 1 | 5
row 4 : 4 | 2 | 2 | – | 4
row 5 : 5 | 1 | 3 | 1 | 5
row 6 : 6 | 1 | 1 | 1 | 3
row 7 : 7 | – | 1 | – | 1
row 8 : 9 | – | – | 5 | 5
row 9 : 10 | – | – | 1 | 1 [/Table] Answer this question based on the above table: What is Silver, when Total is greater than 4, when Bronze is 2, and when Rank is greater than 1?

Answer: 3.0
[Table] header: Office | Democratic ticket | Republican ticket | Conservative ticket | Liberal ticket | Free Libertarian ticket | Socialist Labor ticket row 1 : Governor | Hugh L. Carey | Malcolm Wilson | Malcolm Wilson | Hugh L. Carey | Jerry Tuccille | John Emanuel
row 2 : Lieutenant Governor | Mary Anne Krupsak | Ralph G. Caso | Ralph G. Caso | Mary Anne Krupsak | Louis J. Sicilia | (none)
row 3 : Comptroller | Arthur Levitt | Stephen May | Bradley J. Hurd | Arthur Levitt | Robert S. Flanzer | (none)
row 4 : Attorney General | Robert Abrams | Louis J. Lefkowitz | Edward F. Campbell | Louis J. Lefkowitz | Leland W. Schubert | (none)
row 5 : Judge of the Court of Appeals | Lawrence H. Cooke | Louis M. Greenblott | Henry S. Middendorf, Jr. | Lawrence H. Cooke | Melvin J. Hirshowitz | (none)
row 6 : Judge of the Court of Appeals | Jacob D. Fuchsberg | Harold A. Stevens | Harold A. Stevens | Harold A. Stevens | Jack A. Martin | (none)
row 7 : U.S. Senator | Ramsey Clark | Jacob K. Javits | Barbara A. Keating | Jacob K. Javits | Percy L. Greaves, Jr. | Robert E. Massi [/Table] Answer this question based on the above table: Who was on the Socialist Labor ticket that had Arthur Levitt as the Liberal Ticket?

Answer: (none)
[Table] header: Office | Democratic ticket | Republican ticket | Conservative ticket | Liberal ticket | Free Libertarian ticket | Socialist Labor ticket row 1 : Governor | Hugh L. Carey | Malcolm Wilson | Malcolm Wilson | Hugh L. Carey | Jerry Tuccille | John Emanuel
row 2 : Lieutenant Governor | Mary Anne Krupsak | Ralph G. Caso | Ralph G. Caso | Mary Anne Krupsak | Louis J. Sicilia | (none)
row 3 : Comptroller | Arthur Levitt | Stephen May | Bradley J. Hurd | Arthur Levitt | Robert S. Flanzer | (none)
row 4 : Attorney General | Robert Abrams | Louis J. Lefkowitz | Edward F. Campbell | Louis J. Lefkowitz | Leland W. Schubert | (none)
row 5 : Judge of the Court of Appeals | Lawrence H. Cooke | Louis M. Greenblott | Henry S. Middendorf, Jr. | Lawrence H. Cooke | Melvin J. Hirshowitz | (none)
row 6 : Judge of the Court of Appeals | Jacob D. Fuchsberg | Harold A. Stevens | Harold A. Stevens | Harold A. Stevens | Jack A. Martin | (none)
row 7 : U.S. Senator | Ramsey Clark | Jacob K. Javits | Barbara A. Keating | Jacob K. Javits | Percy L. Greaves, Jr. | Robert E. Massi [/Table] Answer this question based on the above table: Robert S. Flanzer was the Free Libertarian ticket with who listed as the Liberal Ticket?

Answer: Arthur Levitt
[Table] header: Office | Democratic ticket | Republican ticket | Conservative ticket | Liberal ticket | Free Libertarian ticket | Socialist Labor ticket row 1 : Governor | Hugh L. Carey | Malcolm Wilson | Malcolm Wilson | Hugh L. Carey | Jerry Tuccille | John Emanuel
row 2 : Lieutenant Governor | Mary Anne Krupsak | Ralph G. Caso | Ralph G. Caso | Mary Anne Krupsak | Louis J. Sicilia | (none)
row 3 : Comptroller | Arthur Levitt | Stephen May | Bradley J. Hurd | Arthur Levitt | Robert S. Flanzer | (none)
row 4 : Attorney General | Robert Abrams | Louis J. Lefkowitz | Edward F. Campbell | Louis J. Lefkowitz | Leland W. Schubert | (none)
row 5 : Judge of the Court of Appeals | Lawrence H. Cooke | Louis M. Greenblott | Henry S. Middendorf, Jr. | Lawrence H. Cooke | Melvin J. Hirshowitz | (none)
row 6 : Judge of the Court of Appeals | Jacob D. Fuchsberg | Harold A. Stevens | Harold A. Stevens | Harold A. Stevens | Jack A. Martin | (none)
row 7 : U.S. Senator | Ramsey Clark | Jacob K. Javits | Barbara A. Keating | Jacob K. Javits | Percy L. Greaves, Jr. | Robert E. Massi [/Table] Answer this question based on the above table: The Liberal Ticket listed which candidate when Jack A. Martin was listed on the Free Libertarian Ticket?

Answer: Harold A. Stevens
[Table] header: Office | Democratic ticket | Republican ticket | Conservative ticket | Liberal ticket | Free Libertarian ticket | Socialist Labor ticket row 1 : Governor | Hugh L. Carey | Malcolm Wilson | Malcolm Wilson | Hugh L. Carey | Jerry Tuccille | John Emanuel
row 2 : Lieutenant Governor | Mary Anne Krupsak | Ralph G. Caso | Ralph G. Caso | Mary Anne Krupsak | Louis J. Sicilia | (none)
row 3 : Comptroller | Arthur Levitt | Stephen May | Bradley J. Hurd | Arthur Levitt | Robert S. Flanzer | (none)
row 4 : Attorney General | Robert Abrams | Louis J. Lefkowitz | Edward F. Campbell | Louis J. Lefkowitz | Leland W. Schubert | (none)
row 5 : Judge of the Court of Appeals | Lawrence H. Cooke | Louis M. Greenblott | Henry S. Middendorf, Jr. | Lawrence H. Cooke | Melvin J. Hirshowitz | (none)
row 6 : Judge of the Court of Appeals | Jacob D. Fuchsberg | Harold A. Stevens | Harold A. Stevens | Harold A. Stevens | Jack A. Martin | (none)
row 7 : U.S. Senator | Ramsey Clark | Jacob K. Javits | Barbara A. Keating | Jacob K. Javits | Percy L. Greaves, Jr. | Robert E. Massi [/Table] Answer this question based on the above table: The person who is on the Democratic ticket for the position of Office of U.S. Senator was who?

Answer: Ramsey Clark
[Table] header: Office | Democratic ticket | Republican ticket | Conservative ticket | Liberal ticket | Free Libertarian ticket | Socialist Labor ticket row 1 : Governor | Hugh L. Carey | Malcolm Wilson | Malcolm Wilson | Hugh L. Carey | Jerry Tuccille | John Emanuel
row 2 : Lieutenant Governor | Mary Anne Krupsak | Ralph G. Caso | Ralph G. Caso | Mary Anne Krupsak | Louis J. Sicilia | (none)
row 3 : Comptroller | Arthur Levitt | Stephen May | Bradley J. Hurd | Arthur Levitt | Robert S. Flanzer | (none)
row 4 : Attorney General | Robert Abrams | Louis J. Lefkowitz | Edward F. Campbell | Louis J. Lefkowitz | Leland W. Schubert | (none)
row 5 : Judge of the Court of Appeals | Lawrence H. Cooke | Louis M. Greenblott | Henry S. Middendorf, Jr. | Lawrence H. Cooke | Melvin J. Hirshowitz | (none)
row 6 : Judge of the Court of Appeals | Jacob D. Fuchsberg | Harold A. Stevens | Harold A. Stevens | Harold A. Stevens | Jack A. Martin | (none)
row 7 : U.S. Senator | Ramsey Clark | Jacob K. Javits | Barbara A. Keating | Jacob K. Javits | Percy L. Greaves, Jr. | Robert E. Massi [/Table] Answer this question based on the above table: Leland W. Schubert, Free Libertarian ticket, had who listed on the Democratic ticket?

Answer: Robert Abrams
[Table] header: Name | Overs Bowled | Maidens | Runs Conceded | Wickets | Extras | E.R. row 1 : Chaminda Vaas | 62 | 3 | 270 | 5 | 1 | 4.35
row 2 : Lasith Malinga | 70.4 | 6 | 368 | 12 | 14 | 5.23
row 3 : Ishara Amerasinghe | 57 | 5 | 276 | 9 | 5 | 4.84
row 4 : Muttiah Muralitharan | 73.2 | 0 | 353 | 9 | 6 | 4.82
row 5 : Chamara Kapugedera | 22 | 0 | 101 | 2 | 3 | 4.59
row 6 : Tillakaratne Dilshan | 2 | 0 | 19 | 0 | 0 | 9.50
row 7 : Sanath Jayasuriya | 6.1 | 0 | 42 | 1 | 0 | 6.89
row 8 : Farveez Maharoof | 32.1 | 1 | 149 | 4 | 5 | 4.64
row 9 : Nuwan Kulasekara | 26 | 4 | 129 | 5 | 0 | 4.96
row 10 : Dilruwan Perera | 7 | 0 | 28 | 1 | 0 | 4.00 [/Table] Answer this question based on the above table: What is the lowest Extras for Chamara Kapugedera, with an E.R. less than 4.59?

Answer: none
[Table] header: Name | Overs Bowled | Maidens | Runs Conceded | Wickets | Extras | E.R. row 1 : Chaminda Vaas | 62 | 3 | 270 | 5 | 1 | 4.35
row 2 : Lasith Malinga | 70.4 | 6 | 368 | 12 | 14 | 5.23
row 3 : Ishara Amerasinghe | 57 | 5 | 276 | 9 | 5 | 4.84
row 4 : Muttiah Muralitharan | 73.2 | 0 | 353 | 9 | 6 | 4.82
row 5 : Chamara Kapugedera | 22 | 0 | 101 | 2 | 3 | 4.59
row 6 : Tillakaratne Dilshan | 2 | 0 | 19 | 0 | 0 | 9.50
row 7 : Sanath Jayasuriya | 6.1 | 0 | 42 | 1 | 0 | 6.89
row 8 : Farveez Maharoof | 32.1 | 1 | 149 | 4 | 5 | 4.64
row 9 : Nuwan Kulasekara | 26 | 4 | 129 | 5 | 0 | 4.96
row 10 : Dilruwan Perera | 7 | 0 | 28 | 1 | 0 | 4.00 [/Table] Answer this question based on the above table: What is the highest Extras with an E.R. of 4.59, and more than 101 Runs Conceded?

Answer: none
[Table] header: Name | Overs Bowled | Maidens | Runs Conceded | Wickets | Extras | E.R. row 1 : Chaminda Vaas | 62 | 3 | 270 | 5 | 1 | 4.35
row 2 : Lasith Malinga | 70.4 | 6 | 368 | 12 | 14 | 5.23
row 3 : Ishara Amerasinghe | 57 | 5 | 276 | 9 | 5 | 4.84
row 4 : Muttiah Muralitharan | 73.2 | 0 | 353 | 9 | 6 | 4.82
row 5 : Chamara Kapugedera | 22 | 0 | 101 | 2 | 3 | 4.59
row 6 : Tillakaratne Dilshan | 2 | 0 | 19 | 0 | 0 | 9.50
row 7 : Sanath Jayasuriya | 6.1 | 0 | 42 | 1 | 0 | 6.89
row 8 : Farveez Maharoof | 32.1 | 1 | 149 | 4 | 5 | 4.64
row 9 : Nuwan Kulasekara | 26 | 4 | 129 | 5 | 0 | 4.96
row 10 : Dilruwan Perera | 7 | 0 | 28 | 1 | 0 | 4.00 [/Table] Answer this question based on the above table: What is the average Extras for Muttiah Muralitharan, with less than 353 Runs Conceded?

Answer: none
[Table] header: Name | Overs Bowled | Maidens | Runs Conceded | Wickets | Extras | E.R. row 1 : Chaminda Vaas | 62 | 3 | 270 | 5 | 1 | 4.35
row 2 : Lasith Malinga | 70.4 | 6 | 368 | 12 | 14 | 5.23
row 3 : Ishara Amerasinghe | 57 | 5 | 276 | 9 | 5 | 4.84
row 4 : Muttiah Muralitharan | 73.2 | 0 | 353 | 9 | 6 | 4.82
row 5 : Chamara Kapugedera | 22 | 0 | 101 | 2 | 3 | 4.59
row 6 : Tillakaratne Dilshan | 2 | 0 | 19 | 0 | 0 | 9.50
row 7 : Sanath Jayasuriya | 6.1 | 0 | 42 | 1 | 0 | 6.89
row 8 : Farveez Maharoof | 32.1 | 1 | 149 | 4 | 5 | 4.64
row 9 : Nuwan Kulasekara | 26 | 4 | 129 | 5 | 0 | 4.96
row 10 : Dilruwan Perera | 7 | 0 | 28 | 1 | 0 | 4.00 [/Table] Answer this question based on the above table: What is the highest Extras for Farveez Maharoof, with more than 4 wickets?

Answer: none