sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Settlement | Cyrillic Name Other Names | Type | Population (2011) | Largest ethnic group (2002) | Dominant religion (2002) row 1 : Zrenjanin | Зрењанин | city | 76511 | Serbs | Orthodox Christianity
row 2 : Aradac | Арадац | village | 3335 | Serbs | Orthodox Christianity
row 3 : Banatski Despotovac | Банатски Деспо | village | 1291 | Serbs | Orthodox Christianity
row 4 : Belo Blato | Бело Блато (S | village | 1342 | Slovaks | Catholic Christianity
row 5 : Botoš | Ботош | village | 1860 | Serbs | Orthodox Christianity
row 6 : Čenta | Чента | village | 3050 | Serbs | Orthodox Christianity
row 7 : Ečka | Ечка | village | 3999 | Serbs | Orthodox Christianity
row 8 : Elemir | Елемир | village | 4338 | Serbs | Orthodox Christianity
row 9 : Farkaždin | Фаркаждин | village | 1179 | Serbs | Orthodox Christianity
row 10 : Jankov Most | Јанков Мост ( | village | 530 | Romanians | Orthodox Christianity
row 11 : Klek | Клек | village | 2706 | Serbs | Orthodox Christianity
row 12 : Knićanin | Книћанин | village | 1753 | Serbs | Orthodox Christianity
row 13 : Lazarevo | Лазарево | village | 2877 | Serbs | Orthodox Christianity
row 14 : Lukićevo | Лукићево | village | 1804 | Serbs | Orthodox Christianity
row 15 : Lukino Selo | Лукино Село ( | village | 498 | Hungarians | Catholic Christianity
row 16 : Melenci | Меленци | village | 5982 | Serbs | Orthodox Christianity
row 17 : Mihajlovo | Михајлово (H | village | 948 | Hungarians | Catholic Christianity
row 18 : Orlovat | Орловат | village | 1516 | Serbs | Orthodox Christianity
row 19 : Perlez | Перлез | village | 3383 | Serbs | Orthodox Christianity
row 20 : Stajićevo | Стајићево | village | 1941 | Serbs | Orthodox Christianity
row 21 : Taraš | Тараш | village | 1009 | Serbs | Orthodox Christianity [/Table] Answer this question based on the above table: Name the cyrillic name for lazarevo

Answer: Лазарево
[Table] header: Settlement | Cyrillic Name Other Names | Type | Population (2011) | Largest ethnic group (2002) | Dominant religion (2002) row 1 : Zrenjanin | Зрењанин | city | 76511 | Serbs | Orthodox Christianity
row 2 : Aradac | Арадац | village | 3335 | Serbs | Orthodox Christianity
row 3 : Banatski Despotovac | Банатски Деспо | village | 1291 | Serbs | Orthodox Christianity
row 4 : Belo Blato | Бело Блато (S | village | 1342 | Slovaks | Catholic Christianity
row 5 : Botoš | Ботош | village | 1860 | Serbs | Orthodox Christianity
row 6 : Čenta | Чента | village | 3050 | Serbs | Orthodox Christianity
row 7 : Ečka | Ечка | village | 3999 | Serbs | Orthodox Christianity
row 8 : Elemir | Елемир | village | 4338 | Serbs | Orthodox Christianity
row 9 : Farkaždin | Фаркаждин | village | 1179 | Serbs | Orthodox Christianity
row 10 : Jankov Most | Јанков Мост ( | village | 530 | Romanians | Orthodox Christianity
row 11 : Klek | Клек | village | 2706 | Serbs | Orthodox Christianity
row 12 : Knićanin | Книћанин | village | 1753 | Serbs | Orthodox Christianity
row 13 : Lazarevo | Лазарево | village | 2877 | Serbs | Orthodox Christianity
row 14 : Lukićevo | Лукићево | village | 1804 | Serbs | Orthodox Christianity
row 15 : Lukino Selo | Лукино Село ( | village | 498 | Hungarians | Catholic Christianity
row 16 : Melenci | Меленци | village | 5982 | Serbs | Orthodox Christianity
row 17 : Mihajlovo | Михајлово (H | village | 948 | Hungarians | Catholic Christianity
row 18 : Orlovat | Орловат | village | 1516 | Serbs | Orthodox Christianity
row 19 : Perlez | Перлез | village | 3383 | Serbs | Orthodox Christianity
row 20 : Stajićevo | Стајићево | village | 1941 | Serbs | Orthodox Christianity
row 21 : Taraš | Тараш | village | 1009 | Serbs | Orthodox Christianity [/Table] Answer this question based on the above table: Name the population 2011 for mihajlovo

Answer: 1.0
[Table] header: Settlement | Cyrillic Name Other Names | Type | Population (2011) | Largest ethnic group (2002) | Dominant religion (2002) row 1 : Zrenjanin | Зрењанин | city | 76511 | Serbs | Orthodox Christianity
row 2 : Aradac | Арадац | village | 3335 | Serbs | Orthodox Christianity
row 3 : Banatski Despotovac | Банатски Деспо | village | 1291 | Serbs | Orthodox Christianity
row 4 : Belo Blato | Бело Блато (S | village | 1342 | Slovaks | Catholic Christianity
row 5 : Botoš | Ботош | village | 1860 | Serbs | Orthodox Christianity
row 6 : Čenta | Чента | village | 3050 | Serbs | Orthodox Christianity
row 7 : Ečka | Ечка | village | 3999 | Serbs | Orthodox Christianity
row 8 : Elemir | Елемир | village | 4338 | Serbs | Orthodox Christianity
row 9 : Farkaždin | Фаркаждин | village | 1179 | Serbs | Orthodox Christianity
row 10 : Jankov Most | Јанков Мост ( | village | 530 | Romanians | Orthodox Christianity
row 11 : Klek | Клек | village | 2706 | Serbs | Orthodox Christianity
row 12 : Knićanin | Книћанин | village | 1753 | Serbs | Orthodox Christianity
row 13 : Lazarevo | Лазарево | village | 2877 | Serbs | Orthodox Christianity
row 14 : Lukićevo | Лукићево | village | 1804 | Serbs | Orthodox Christianity
row 15 : Lukino Selo | Лукино Село ( | village | 498 | Hungarians | Catholic Christianity
row 16 : Melenci | Меленци | village | 5982 | Serbs | Orthodox Christianity
row 17 : Mihajlovo | Михајлово (H | village | 948 | Hungarians | Catholic Christianity
row 18 : Orlovat | Орловат | village | 1516 | Serbs | Orthodox Christianity
row 19 : Perlez | Перлез | village | 3383 | Serbs | Orthodox Christianity
row 20 : Stajićevo | Стајићево | village | 1941 | Serbs | Orthodox Christianity
row 21 : Taraš | Тараш | village | 1009 | Serbs | Orthodox Christianity [/Table] Answer this question based on the above table: Name the dominant religion 2002 for  меленци

Answer: Orthodox Christianity
[Table] header: Settlement | Cyrillic Name Other Names | Type | Population (2011) | Largest ethnic group (2002) | Dominant religion (2002) row 1 : Zrenjanin | Зрењанин | city | 76511 | Serbs | Orthodox Christianity
row 2 : Aradac | Арадац | village | 3335 | Serbs | Orthodox Christianity
row 3 : Banatski Despotovac | Банатски Деспо | village | 1291 | Serbs | Orthodox Christianity
row 4 : Belo Blato | Бело Блато (S | village | 1342 | Slovaks | Catholic Christianity
row 5 : Botoš | Ботош | village | 1860 | Serbs | Orthodox Christianity
row 6 : Čenta | Чента | village | 3050 | Serbs | Orthodox Christianity
row 7 : Ečka | Ечка | village | 3999 | Serbs | Orthodox Christianity
row 8 : Elemir | Елемир | village | 4338 | Serbs | Orthodox Christianity
row 9 : Farkaždin | Фаркаждин | village | 1179 | Serbs | Orthodox Christianity
row 10 : Jankov Most | Јанков Мост ( | village | 530 | Romanians | Orthodox Christianity
row 11 : Klek | Клек | village | 2706 | Serbs | Orthodox Christianity
row 12 : Knićanin | Книћанин | village | 1753 | Serbs | Orthodox Christianity
row 13 : Lazarevo | Лазарево | village | 2877 | Serbs | Orthodox Christianity
row 14 : Lukićevo | Лукићево | village | 1804 | Serbs | Orthodox Christianity
row 15 : Lukino Selo | Лукино Село ( | village | 498 | Hungarians | Catholic Christianity
row 16 : Melenci | Меленци | village | 5982 | Serbs | Orthodox Christianity
row 17 : Mihajlovo | Михајлово (H | village | 948 | Hungarians | Catholic Christianity
row 18 : Orlovat | Орловат | village | 1516 | Serbs | Orthodox Christianity
row 19 : Perlez | Перлез | village | 3383 | Serbs | Orthodox Christianity
row 20 : Stajićevo | Стајићево | village | 1941 | Serbs | Orthodox Christianity
row 21 : Taraš | Тараш | village | 1009 | Serbs | Orthodox Christianity [/Table] Answer this question based on the above table: Name the total number of population 2011 for perlez

Answer: 1.0
[Table] header: Settlement | Cyrillic Name | Type | Population (2011) | Largest ethnic group (2002) | Dominant religion (2002) row 1 : Pećinci | Пећинци | village | 2581 | Serbs | Orthodox Christianity
row 2 : Ašanja | Ашања | village | 1365 | Serbs | Orthodox Christianity
row 3 : Brestač | Брестач | village | 934 | Serbs | Orthodox Christianity
row 4 : Deč | Деч | village | 1491 | Serbs | Orthodox Christianity
row 5 : Donji Tovarnik | Доњи Товар | village | 973 | Serbs | Orthodox Christianity
row 6 : Karlovčić | Карловчић | village | 1078 | Serbs | Orthodox Christianity
row 7 : Kupinovo | Купиново | village | 1866 | Serbs | Orthodox Christianity
row 8 : Obrež | Обреж | village | 1308 | Serbs | Orthodox Christianity
row 9 : Ogar | Огар | village | 1040 | Serbs | Orthodox Christianity
row 10 : Popinci | Попинци | village | 1166 | Serbs | Orthodox Christianity
row 11 : Prhovo | Прхово | village | 784 | Serbs | Orthodox Christianity
row 12 : Sibač | Сибач | village | 468 | Serbs | Orthodox Christianity
row 13 : Sremski Mihaljevci | Сремски Миха | village | 769 | Serbs | Orthodox Christianity
row 14 : Subotište | Суботиште | village | 844 | Serbs | Orthodox Christianity [/Table] Answer this question based on the above table: What is the type when the settlement is subotište?

Answer: village
[Table] header: Settlement | Cyrillic Name | Type | Population (2011) | Largest ethnic group (2002) | Dominant religion (2002) row 1 : Pećinci | Пећинци | village | 2581 | Serbs | Orthodox Christianity
row 2 : Ašanja | Ашања | village | 1365 | Serbs | Orthodox Christianity
row 3 : Brestač | Брестач | village | 934 | Serbs | Orthodox Christianity
row 4 : Deč | Деч | village | 1491 | Serbs | Orthodox Christianity
row 5 : Donji Tovarnik | Доњи Товар | village | 973 | Serbs | Orthodox Christianity
row 6 : Karlovčić | Карловчић | village | 1078 | Serbs | Orthodox Christianity
row 7 : Kupinovo | Купиново | village | 1866 | Serbs | Orthodox Christianity
row 8 : Obrež | Обреж | village | 1308 | Serbs | Orthodox Christianity
row 9 : Ogar | Огар | village | 1040 | Serbs | Orthodox Christianity
row 10 : Popinci | Попинци | village | 1166 | Serbs | Orthodox Christianity
row 11 : Prhovo | Прхово | village | 784 | Serbs | Orthodox Christianity
row 12 : Sibač | Сибач | village | 468 | Serbs | Orthodox Christianity
row 13 : Sremski Mihaljevci | Сремски Миха | village | 769 | Serbs | Orthodox Christianity
row 14 : Subotište | Суботиште | village | 844 | Serbs | Orthodox Christianity [/Table] Answer this question based on the above table: how many times is the cyrillic name сибач?

Answer: 1.0
[Table] header: Settlement | Cyrillic Name | Type | Population (2011) | Largest ethnic group (2002) | Dominant religion (2002) row 1 : Pećinci | Пећинци | village | 2581 | Serbs | Orthodox Christianity
row 2 : Ašanja | Ашања | village | 1365 | Serbs | Orthodox Christianity
row 3 : Brestač | Брестач | village | 934 | Serbs | Orthodox Christianity
row 4 : Deč | Деч | village | 1491 | Serbs | Orthodox Christianity
row 5 : Donji Tovarnik | Доњи Товар | village | 973 | Serbs | Orthodox Christianity
row 6 : Karlovčić | Карловчић | village | 1078 | Serbs | Orthodox Christianity
row 7 : Kupinovo | Купиново | village | 1866 | Serbs | Orthodox Christianity
row 8 : Obrež | Обреж | village | 1308 | Serbs | Orthodox Christianity
row 9 : Ogar | Огар | village | 1040 | Serbs | Orthodox Christianity
row 10 : Popinci | Попинци | village | 1166 | Serbs | Orthodox Christianity
row 11 : Prhovo | Прхово | village | 784 | Serbs | Orthodox Christianity
row 12 : Sibač | Сибач | village | 468 | Serbs | Orthodox Christianity
row 13 : Sremski Mihaljevci | Сремски Миха | village | 769 | Serbs | Orthodox Christianity
row 14 : Subotište | Суботиште | village | 844 | Serbs | Orthodox Christianity [/Table] Answer this question based on the above table: What is the largest ethnic group (2002) when cyrillic name is брестач?

Answer: Serbs
[Table] header: Settlement | Cyrillic Name | Type | Population (2011) | Largest ethnic group (2002) | Dominant religion (2002) row 1 : Pećinci | Пећинци | village | 2581 | Serbs | Orthodox Christianity
row 2 : Ašanja | Ашања | village | 1365 | Serbs | Orthodox Christianity
row 3 : Brestač | Брестач | village | 934 | Serbs | Orthodox Christianity
row 4 : Deč | Деч | village | 1491 | Serbs | Orthodox Christianity
row 5 : Donji Tovarnik | Доњи Товар | village | 973 | Serbs | Orthodox Christianity
row 6 : Karlovčić | Карловчић | village | 1078 | Serbs | Orthodox Christianity
row 7 : Kupinovo | Купиново | village | 1866 | Serbs | Orthodox Christianity
row 8 : Obrež | Обреж | village | 1308 | Serbs | Orthodox Christianity
row 9 : Ogar | Огар | village | 1040 | Serbs | Orthodox Christianity
row 10 : Popinci | Попинци | village | 1166 | Serbs | Orthodox Christianity
row 11 : Prhovo | Прхово | village | 784 | Serbs | Orthodox Christianity
row 12 : Sibač | Сибач | village | 468 | Serbs | Orthodox Christianity
row 13 : Sremski Mihaljevci | Сремски Миха | village | 769 | Serbs | Orthodox Christianity
row 14 : Subotište | Суботиште | village | 844 | Serbs | Orthodox Christianity [/Table] Answer this question based on the above table: How many times is the settlement karlovčić?

Answer: 1.0
[Table] header: Settlement | Cyrillic Name | Type | Population (2011) | Largest ethnic group (2002) | Dominant religion (2002) row 1 : Pećinci | Пећинци | village | 2581 | Serbs | Orthodox Christianity
row 2 : Ašanja | Ашања | village | 1365 | Serbs | Orthodox Christianity
row 3 : Brestač | Брестач | village | 934 | Serbs | Orthodox Christianity
row 4 : Deč | Деч | village | 1491 | Serbs | Orthodox Christianity
row 5 : Donji Tovarnik | Доњи Товар | village | 973 | Serbs | Orthodox Christianity
row 6 : Karlovčić | Карловчић | village | 1078 | Serbs | Orthodox Christianity
row 7 : Kupinovo | Купиново | village | 1866 | Serbs | Orthodox Christianity
row 8 : Obrež | Обреж | village | 1308 | Serbs | Orthodox Christianity
row 9 : Ogar | Огар | village | 1040 | Serbs | Orthodox Christianity
row 10 : Popinci | Попинци | village | 1166 | Serbs | Orthodox Christianity
row 11 : Prhovo | Прхово | village | 784 | Serbs | Orthodox Christianity
row 12 : Sibač | Сибач | village | 468 | Serbs | Orthodox Christianity
row 13 : Sremski Mihaljevci | Сремски Миха | village | 769 | Serbs | Orthodox Christianity
row 14 : Subotište | Суботиште | village | 844 | Serbs | Orthodox Christianity [/Table] Answer this question based on the above table: What is the cyrillic name when the settlement is ašanja?

Answer: Ашања
[Table] header: Urban settlement | Cyrillic Name | City / municipality | District | Population (1991) | Population (2002) | Population (2011) row 1 : Ada | Ада | Ada | North Banat | 12078 | 10547 | 9564
row 2 : Čoka | Чока | Čoka | North Banat | 5244 | 4707 | 4028
row 3 : Kanjiža | Кањижа | Kanjiža | North Banat | 11541 | 10200 | 9871
row 4 : Kikinda | Кикинда | Kikinda | North Banat | 43051 | 41935 | 38065
row 5 : Mol | Мол | Ada | North Banat | 7522 | 6786 | 6009
row 6 : Novi Kneževac | Нови Кнежева | Novi Kneževac | North Banat | 8062 | 7581 | 6960 [/Table] Answer this question based on the above table: Name the least population for 2002 for 2011 being 9564

Answer: 10547.0
[Table] header: Urban settlement | Cyrillic Name | City / municipality | District | Population (1991) | Population (2002) | Population (2011) row 1 : Ada | Ада | Ada | North Banat | 12078 | 10547 | 9564
row 2 : Čoka | Чока | Čoka | North Banat | 5244 | 4707 | 4028
row 3 : Kanjiža | Кањижа | Kanjiža | North Banat | 11541 | 10200 | 9871
row 4 : Kikinda | Кикинда | Kikinda | North Banat | 43051 | 41935 | 38065
row 5 : Mol | Мол | Ada | North Banat | 7522 | 6786 | 6009
row 6 : Novi Kneževac | Нови Кнежева | Novi Kneževac | North Banat | 8062 | 7581 | 6960 [/Table] Answer this question based on the above table: Name the total number of population for 1991 for 9564 for 2011

Answer: 1.0
[Table] header: Urban settlement | Cyrillic Name | City / municipality | District | Population (1991) | Population (2002) | Population (2011) row 1 : Ada | Ада | Ada | North Banat | 12078 | 10547 | 9564
row 2 : Čoka | Чока | Čoka | North Banat | 5244 | 4707 | 4028
row 3 : Kanjiža | Кањижа | Kanjiža | North Banat | 11541 | 10200 | 9871
row 4 : Kikinda | Кикинда | Kikinda | North Banat | 43051 | 41935 | 38065
row 5 : Mol | Мол | Ada | North Banat | 7522 | 6786 | 6009
row 6 : Novi Kneževac | Нови Кнежева | Novi Kneževac | North Banat | 8062 | 7581 | 6960 [/Table] Answer this question based on the above table: Name the city for kanjiža

Answer: Kanjiža
[Table] header: Urban settlement | Cyrillic Name | City / municipality | District | Population (1991) | Population (2002) | Population (2011) row 1 : Ada | Ада | Ada | North Banat | 12078 | 10547 | 9564
row 2 : Čoka | Чока | Čoka | North Banat | 5244 | 4707 | 4028
row 3 : Kanjiža | Кањижа | Kanjiža | North Banat | 11541 | 10200 | 9871
row 4 : Kikinda | Кикинда | Kikinda | North Banat | 43051 | 41935 | 38065
row 5 : Mol | Мол | Ada | North Banat | 7522 | 6786 | 6009
row 6 : Novi Kneževac | Нови Кнежева | Novi Kneževac | North Banat | 8062 | 7581 | 6960 [/Table] Answer this question based on the above table: Name the city for ада

Answer: Ada
[Table] header: Urban settlement | Cyrillic Name | City / municipality | District | Population (1991) | Population (2002) | Population (2011) row 1 : Ada | Ада | Ada | North Banat | 12078 | 10547 | 9564
row 2 : Čoka | Чока | Čoka | North Banat | 5244 | 4707 | 4028
row 3 : Kanjiža | Кањижа | Kanjiža | North Banat | 11541 | 10200 | 9871
row 4 : Kikinda | Кикинда | Kikinda | North Banat | 43051 | 41935 | 38065
row 5 : Mol | Мол | Ada | North Banat | 7522 | 6786 | 6009
row 6 : Novi Kneževac | Нови Кнежева | Novi Kneževac | North Banat | 8062 | 7581 | 6960 [/Table] Answer this question based on the above table: Name the population for 2002 being ada

Answer: 10547.0
[Table] header: meas. num | passed | YES votes | NO votes | % YES | Const. Amd.? | type | description row 1 : 1 | No | 61258 | 131603 | 31.76% | Yes | LEG | Compulsory Voting and Registration Amendment
row 2 : 3 | No | 67101 | 119126 | 36.03% | No | Ref | Oleomargarine Bills
row 3 : 4 | No | 37283 | 147426 | 20.18% | Yes | Init | Single Tax Constitutional Amendment
row 4 : 5 | YES | 97854 | 80983 | 54.72% | Yes | Init | Fixing Term of Certain County Officers
row 5 : 6 | No | 80493 | 84830 | 48.69% | No | Init | Port of Portland Dock Commission Consolidation
row 6 : 7 | No | 63018 | 127570 | 33.07% | Yes | Init | Anti-compulsory Vaccination
row 7 : 9 | No | 78961 | 107383 | 42.37% | No | Init | Roosevelt Bird Refuge [/Table] Answer this question based on the above table: Name the most no votes

Answer: 147426.0
[Table] header: meas. num | passed | YES votes | NO votes | % YES | Const. Amd.? | type | description row 1 : 1 | No | 61258 | 131603 | 31.76% | Yes | LEG | Compulsory Voting and Registration Amendment
row 2 : 3 | No | 67101 | 119126 | 36.03% | No | Ref | Oleomargarine Bills
row 3 : 4 | No | 37283 | 147426 | 20.18% | Yes | Init | Single Tax Constitutional Amendment
row 4 : 5 | YES | 97854 | 80983 | 54.72% | Yes | Init | Fixing Term of Certain County Officers
row 5 : 6 | No | 80493 | 84830 | 48.69% | No | Init | Port of Portland Dock Commission Consolidation
row 6 : 7 | No | 63018 | 127570 | 33.07% | Yes | Init | Anti-compulsory Vaccination
row 7 : 9 | No | 78961 | 107383 | 42.37% | No | Init | Roosevelt Bird Refuge [/Table] Answer this question based on the above table: Name the least yes votes for yes passed

Answer: 97854.0
[Table] header: meas. num | passed | YES votes | NO votes | % YES | Const. Amd.? | type | description row 1 : 1 | No | 61258 | 131603 | 31.76% | Yes | LEG | Compulsory Voting and Registration Amendment
row 2 : 3 | No | 67101 | 119126 | 36.03% | No | Ref | Oleomargarine Bills
row 3 : 4 | No | 37283 | 147426 | 20.18% | Yes | Init | Single Tax Constitutional Amendment
row 4 : 5 | YES | 97854 | 80983 | 54.72% | Yes | Init | Fixing Term of Certain County Officers
row 5 : 6 | No | 80493 | 84830 | 48.69% | No | Init | Port of Portland Dock Commission Consolidation
row 6 : 7 | No | 63018 | 127570 | 33.07% | Yes | Init | Anti-compulsory Vaccination
row 7 : 9 | No | 78961 | 107383 | 42.37% | No | Init | Roosevelt Bird Refuge [/Table] Answer this question based on the above table: Name the % yes for yes votes for 78961

Answer: 42.37%
[Table] header: meas. num. | passed | YES votes | NO votes | % YES | Const. Amd.? | type | description row 1 : 1 | YES | 579022 | 92187 | 86.27% | Yes | LEG | Fixing Commencement of Legislators
row 2 : 2 | No | 357499 | 393652 | 47.59% | No | LEG | Daylight Saving Time
row 3 : 3 | YES | 335792 | 312187 | 51.82% | Yes | LEG | Financing Urban Redevelopment Projects
row 4 : 6 | YES | 467557 | 233759 | 66.67% | Yes | LEG | State Bonds for Higher Education Facilities
row 5 : 7 | YES | 508108 | 183977 | 73.42% | Yes | LEG | Voter Qualification Amendment
row 6 : 8 | No | 232250 | 433515 | 34.88% | Yes | LEG | Authorizing Bonds for State Building Program
row 7 : 9 | YES | 578471 | 123283 | 82.43% | Yes | LEG | Compulsory Retirement for Judges
row 8 : 10 | YES | 486019 | 169865 | 74.10% | Yes | LEG | Elective Offices: When to Become
row 9 : 11 | YES | 399210 | 222736 | 64.19% | Yes | LEG | Financing Improvements in Home Rule Count
row 10 : 12 | YES | 578266 | 88995 | 86.66% | Yes | LEG | Continuity of Government in Enemy
row 11 : 13 | YES | 415931 | 266630 | 60.94% | Yes | LEG | War Veterans' Bonding and Loan Amendment
row 12 : 14 | No | 115610 | 570025 | 16.86% | No | Ref | Personal Income Tax Bill [/Table] Answer this question based on the above table: What is every description if NO votes is 233759?

Answer: State Bonds for Higher Education Facilities
[Table] header: meas. num. | passed | YES votes | NO votes | % YES | Const. Amd.? | type | description row 1 : 1 | YES | 579022 | 92187 | 86.27% | Yes | LEG | Fixing Commencement of Legislators
row 2 : 2 | No | 357499 | 393652 | 47.59% | No | LEG | Daylight Saving Time
row 3 : 3 | YES | 335792 | 312187 | 51.82% | Yes | LEG | Financing Urban Redevelopment Projects
row 4 : 6 | YES | 467557 | 233759 | 66.67% | Yes | LEG | State Bonds for Higher Education Facilities
row 5 : 7 | YES | 508108 | 183977 | 73.42% | Yes | LEG | Voter Qualification Amendment
row 6 : 8 | No | 232250 | 433515 | 34.88% | Yes | LEG | Authorizing Bonds for State Building Program
row 7 : 9 | YES | 578471 | 123283 | 82.43% | Yes | LEG | Compulsory Retirement for Judges
row 8 : 10 | YES | 486019 | 169865 | 74.10% | Yes | LEG | Elective Offices: When to Become
row 9 : 11 | YES | 399210 | 222736 | 64.19% | Yes | LEG | Financing Improvements in Home Rule Count
row 10 : 12 | YES | 578266 | 88995 | 86.66% | Yes | LEG | Continuity of Government in Enemy
row 11 : 13 | YES | 415931 | 266630 | 60.94% | Yes | LEG | War Veterans' Bonding and Loan Amendment
row 12 : 14 | No | 115610 | 570025 | 16.86% | No | Ref | Personal Income Tax Bill [/Table] Answer this question based on the above table: What is every entry for passed when NO votes is 312187?

Answer: YES
[Table] header: meas. num. | passed | YES votes | NO votes | % YES | Const. Amd.? | type | description row 1 : 1 | YES | 579022 | 92187 | 86.27% | Yes | LEG | Fixing Commencement of Legislators
row 2 : 2 | No | 357499 | 393652 | 47.59% | No | LEG | Daylight Saving Time
row 3 : 3 | YES | 335792 | 312187 | 51.82% | Yes | LEG | Financing Urban Redevelopment Projects
row 4 : 6 | YES | 467557 | 233759 | 66.67% | Yes | LEG | State Bonds for Higher Education Facilities
row 5 : 7 | YES | 508108 | 183977 | 73.42% | Yes | LEG | Voter Qualification Amendment
row 6 : 8 | No | 232250 | 433515 | 34.88% | Yes | LEG | Authorizing Bonds for State Building Program
row 7 : 9 | YES | 578471 | 123283 | 82.43% | Yes | LEG | Compulsory Retirement for Judges
row 8 : 10 | YES | 486019 | 169865 | 74.10% | Yes | LEG | Elective Offices: When to Become
row 9 : 11 | YES | 399210 | 222736 | 64.19% | Yes | LEG | Financing Improvements in Home Rule Count
row 10 : 12 | YES | 578266 | 88995 | 86.66% | Yes | LEG | Continuity of Government in Enemy
row 11 : 13 | YES | 415931 | 266630 | 60.94% | Yes | LEG | War Veterans' Bonding and Loan Amendment
row 12 : 14 | No | 115610 | 570025 | 16.86% | No | Ref | Personal Income Tax Bill [/Table] Answer this question based on the above table: What is every value for %yes when type is ref?

Answer: 16.86%
[Table] header: meas. num. | passed | YES votes | NO votes | % YES | Const. Amd.? | type | description row 1 : 1 | YES | 579022 | 92187 | 86.27% | Yes | LEG | Fixing Commencement of Legislators
row 2 : 2 | No | 357499 | 393652 | 47.59% | No | LEG | Daylight Saving Time
row 3 : 3 | YES | 335792 | 312187 | 51.82% | Yes | LEG | Financing Urban Redevelopment Projects
row 4 : 6 | YES | 467557 | 233759 | 66.67% | Yes | LEG | State Bonds for Higher Education Facilities
row 5 : 7 | YES | 508108 | 183977 | 73.42% | Yes | LEG | Voter Qualification Amendment
row 6 : 8 | No | 232250 | 433515 | 34.88% | Yes | LEG | Authorizing Bonds for State Building Program
row 7 : 9 | YES | 578471 | 123283 | 82.43% | Yes | LEG | Compulsory Retirement for Judges
row 8 : 10 | YES | 486019 | 169865 | 74.10% | Yes | LEG | Elective Offices: When to Become
row 9 : 11 | YES | 399210 | 222736 | 64.19% | Yes | LEG | Financing Improvements in Home Rule Count
row 10 : 12 | YES | 578266 | 88995 | 86.66% | Yes | LEG | Continuity of Government in Enemy
row 11 : 13 | YES | 415931 | 266630 | 60.94% | Yes | LEG | War Veterans' Bonding and Loan Amendment
row 12 : 14 | No | 115610 | 570025 | 16.86% | No | Ref | Personal Income Tax Bill [/Table] Answer this question based on the above table: What is every entry for description when the value of %yes is 51.82%?

Answer: Financing Urban Redevelopment Projects
[Table] header: Total | # | Title | Directed by | Written by | Canadian air date | UK air date | Canadian Viewers (millions) row 1 : 66 | 1 | "Murdoch Air" | Don McCutcheon | Peter Mitchell | January7,2013 | February 4, 2013 | 1.184
row 2 : 67 | 2 | "Winston’s Lost Night" | Don McCutcheon | Paul Aitken | January14,2013 | February 11, 2013 | 0.969
row 3 : 68 | 3 | "Murdoch on the Corner" | Cal Coons | Paul Aitken | January21,2013 | February 18, 2013 | 0.961
row 4 : 69 | 4 | "A Study in Sherlock" | Don McCutcheon | Graham Clegg | January28,2013 | February 25, 2013 | 1.151
row 5 : 70 | 5 | "Murdoch Au Naturel" | Harvey Crossland | Michelle Ricci | February4,2013 | March 4, 2013 | 1.051
row 6 : 71 | 6 | "Murdoch and the Cloud of Doom | Yannick Bisson | Derek Schreyer | February11,2013 | March 11, 2013 | 1.168
row 7 : 72 | 7 | "The Ghost of Queen's Park" | Harvey Crossland | Lori Spring | February25,2013 | March 18, 2013 | 0.901
row 8 : 73 | 8 | "Murdoch in Ladies Wear" | Cal Coons | Carol Hay | March4,2013 | March 25, 2013 | 1.063
row 9 : 74 | 9 | "Victoria Cross" | Peter Mitchell | Maureen Jennings & Peter Mitchell | March11,2013 | April 1, 2013 | 1.070
row 10 : 75 | 10 | "Twisted Sisters" | Eleanore Lindo | Michelle Ricci | March18,2013 | April 8, 2013 | 1.223
row 11 : 76 | 11 | "Lovers in a Murderous | Dawn Wilkinson | Carol Hay | March25,2013 | April15,2013 | 0.997
row 12 : 77 | 12 | "Crime & Punishment" | Laurie Lynd | Peter Mitchell | April8,2013 | April22,2013 | 1.003 [/Table] Answer this question based on the above table: What is the episode title for episode number 12?

Answer: "Crime & Punishment"
[Table] header: Total | # | Title | Directed by | Written by | Canadian air date | UK air date | Canadian Viewers (millions) row 1 : 66 | 1 | "Murdoch Air" | Don McCutcheon | Peter Mitchell | January7,2013 | February 4, 2013 | 1.184
row 2 : 67 | 2 | "Winston’s Lost Night" | Don McCutcheon | Paul Aitken | January14,2013 | February 11, 2013 | 0.969
row 3 : 68 | 3 | "Murdoch on the Corner" | Cal Coons | Paul Aitken | January21,2013 | February 18, 2013 | 0.961
row 4 : 69 | 4 | "A Study in Sherlock" | Don McCutcheon | Graham Clegg | January28,2013 | February 25, 2013 | 1.151
row 5 : 70 | 5 | "Murdoch Au Naturel" | Harvey Crossland | Michelle Ricci | February4,2013 | March 4, 2013 | 1.051
row 6 : 71 | 6 | "Murdoch and the Cloud of Doom | Yannick Bisson | Derek Schreyer | February11,2013 | March 11, 2013 | 1.168
row 7 : 72 | 7 | "The Ghost of Queen's Park" | Harvey Crossland | Lori Spring | February25,2013 | March 18, 2013 | 0.901
row 8 : 73 | 8 | "Murdoch in Ladies Wear" | Cal Coons | Carol Hay | March4,2013 | March 25, 2013 | 1.063
row 9 : 74 | 9 | "Victoria Cross" | Peter Mitchell | Maureen Jennings & Peter Mitchell | March11,2013 | April 1, 2013 | 1.070
row 10 : 75 | 10 | "Twisted Sisters" | Eleanore Lindo | Michelle Ricci | March18,2013 | April 8, 2013 | 1.223
row 11 : 76 | 11 | "Lovers in a Murderous | Dawn Wilkinson | Carol Hay | March25,2013 | April15,2013 | 0.997
row 12 : 77 | 12 | "Crime & Punishment" | Laurie Lynd | Peter Mitchell | April8,2013 | April22,2013 | 1.003 [/Table] Answer this question based on the above table: If the UK air date is February 18, 2013, who was the episode written by?

Answer: Paul Aitken
[Table] header: Total | # | Title | Directed by | Written by | Canadian air date | UK air date | Canadian Viewers (millions) row 1 : 66 | 1 | "Murdoch Air" | Don McCutcheon | Peter Mitchell | January7,2013 | February 4, 2013 | 1.184
row 2 : 67 | 2 | "Winston’s Lost Night" | Don McCutcheon | Paul Aitken | January14,2013 | February 11, 2013 | 0.969
row 3 : 68 | 3 | "Murdoch on the Corner" | Cal Coons | Paul Aitken | January21,2013 | February 18, 2013 | 0.961
row 4 : 69 | 4 | "A Study in Sherlock" | Don McCutcheon | Graham Clegg | January28,2013 | February 25, 2013 | 1.151
row 5 : 70 | 5 | "Murdoch Au Naturel" | Harvey Crossland | Michelle Ricci | February4,2013 | March 4, 2013 | 1.051
row 6 : 71 | 6 | "Murdoch and the Cloud of Doom | Yannick Bisson | Derek Schreyer | February11,2013 | March 11, 2013 | 1.168
row 7 : 72 | 7 | "The Ghost of Queen's Park" | Harvey Crossland | Lori Spring | February25,2013 | March 18, 2013 | 0.901
row 8 : 73 | 8 | "Murdoch in Ladies Wear" | Cal Coons | Carol Hay | March4,2013 | March 25, 2013 | 1.063
row 9 : 74 | 9 | "Victoria Cross" | Peter Mitchell | Maureen Jennings & Peter Mitchell | March11,2013 | April 1, 2013 | 1.070
row 10 : 75 | 10 | "Twisted Sisters" | Eleanore Lindo | Michelle Ricci | March18,2013 | April 8, 2013 | 1.223
row 11 : 76 | 11 | "Lovers in a Murderous | Dawn Wilkinson | Carol Hay | March25,2013 | April15,2013 | 0.997
row 12 : 77 | 12 | "Crime & Punishment" | Laurie Lynd | Peter Mitchell | April8,2013 | April22,2013 | 1.003 [/Table] Answer this question based on the above table: If the director is Yannick Bisson, what was the Canadian amount of viewers?

Answer: 1.0
[Table] header: meas. num. | passed | YES votes | NO votes | % YES | Const. Amd.? | type | description row 1 : 2 | No | 376489 | 536967 | 41.22% | Yes | LEG | Allows changing city, county election days
row 2 : 3 | No | 285777 | 679517 | 29.61% | Yes | LEG | Lowers minimum age for legislative service
row 3 : 4 | YES | 507308 | 368646 | 57.91% | Yes | LEG | Repeals emergency succession provision
row 4 : 5 | YES | 549126 | 377354 | 59.27% | Yes | LEG | Permits legislature to call special session
row 5 : 7 | No | 263738 | 659327 | 28.57% | No | LEG | Partial public funding of election campaigns
row 6 : 8 | No | 465143 | 505124 | 47.94% | No | Ref | Increases motor fuel, ton-mile taxes
row 7 : 10 | No | 402608 | 536502 | 42.87% | No | Init | Repeals land use planning coordination statutes [/Table] Answer this question based on the above table: Was the constitution amended with a 57.91% vote of yes?

Answer: Yes
[Table] header: meas. num. | passed | YES votes | NO votes | % YES | Const. Amd.? | type | description row 1 : 2 | No | 376489 | 536967 | 41.22% | Yes | LEG | Allows changing city, county election days
row 2 : 3 | No | 285777 | 679517 | 29.61% | Yes | LEG | Lowers minimum age for legislative service
row 3 : 4 | YES | 507308 | 368646 | 57.91% | Yes | LEG | Repeals emergency succession provision
row 4 : 5 | YES | 549126 | 377354 | 59.27% | Yes | LEG | Permits legislature to call special session
row 5 : 7 | No | 263738 | 659327 | 28.57% | No | LEG | Partial public funding of election campaigns
row 6 : 8 | No | 465143 | 505124 | 47.94% | No | Ref | Increases motor fuel, ton-mile taxes
row 7 : 10 | No | 402608 | 536502 | 42.87% | No | Init | Repeals land use planning coordination statutes [/Table] Answer this question based on the above table: Did the legislation pass that had 42.87% yes votes?

Answer: No
[Table] header: meas. num. | passed | YES votes | NO votes | % YES | Const. Amd.? | type | description row 1 : 2 | No | 376489 | 536967 | 41.22% | Yes | LEG | Allows changing city, county election days
row 2 : 3 | No | 285777 | 679517 | 29.61% | Yes | LEG | Lowers minimum age for legislative service
row 3 : 4 | YES | 507308 | 368646 | 57.91% | Yes | LEG | Repeals emergency succession provision
row 4 : 5 | YES | 549126 | 377354 | 59.27% | Yes | LEG | Permits legislature to call special session
row 5 : 7 | No | 263738 | 659327 | 28.57% | No | LEG | Partial public funding of election campaigns
row 6 : 8 | No | 465143 | 505124 | 47.94% | No | Ref | Increases motor fuel, ton-mile taxes
row 7 : 10 | No | 402608 | 536502 | 42.87% | No | Init | Repeals land use planning coordination statutes [/Table] Answer this question based on the above table: How many no votes were there in the partial public funding of election campaigns legislation?

Answer: 659327.0
[Table] header: Player | Touchdowns | Extra points | Field goals | Safeties | Points row 1 : Bennie Oosterbaan | 8 | 0 | 0 | 0 | 48
row 2 : Benny Friedman | 3 | 22 | 2 | 0 | 46
row 3 : Bo Molenda | 6 | 0 | 0 | 0 | 36
row 4 : Bruce Gregory | 5 | 0 | 0 | 0 | 30
row 5 : Louis Gilbert | 3 | 2 | 0 | 0 | 20
row 6 : William Flora | 2 | 0 | 0 | 0 | 12
row 7 : James Miller | 1 | 1 | 0 | 0 | 7
row 8 : George Babcock | 1 | 0 | 0 | 0 | 6
row 9 : Sam Babcock | 1 | 0 | 0 | 0 | 6
row 10 : William Herrnstein | 1 | 0 | 0 | 0 | 6
row 11 : Leo Hoffman | 1 | 0 | 0 | 0 | 6
row 12 : Frederic Fuller | 0 | 1 | 0 | 0 | 1
row 13 : Carl Stamman | 0 | 1 | 0 | 0 | 1
row 14 : na | 0 | 0 | 0 | 1 | 2 [/Table] Answer this question based on the above table: How many touchdowns did Sam Babcock get? 

Answer: 1.0
[Table] header: Player | Touchdowns | Extra points | Field goals | Safeties | Points row 1 : Bennie Oosterbaan | 8 | 0 | 0 | 0 | 48
row 2 : Benny Friedman | 3 | 22 | 2 | 0 | 46
row 3 : Bo Molenda | 6 | 0 | 0 | 0 | 36
row 4 : Bruce Gregory | 5 | 0 | 0 | 0 | 30
row 5 : Louis Gilbert | 3 | 2 | 0 | 0 | 20
row 6 : William Flora | 2 | 0 | 0 | 0 | 12
row 7 : James Miller | 1 | 1 | 0 | 0 | 7
row 8 : George Babcock | 1 | 0 | 0 | 0 | 6
row 9 : Sam Babcock | 1 | 0 | 0 | 0 | 6
row 10 : William Herrnstein | 1 | 0 | 0 | 0 | 6
row 11 : Leo Hoffman | 1 | 0 | 0 | 0 | 6
row 12 : Frederic Fuller | 0 | 1 | 0 | 0 | 1
row 13 : Carl Stamman | 0 | 1 | 0 | 0 | 1
row 14 : na | 0 | 0 | 0 | 1 | 2 [/Table] Answer this question based on the above table: How many extra points catagories are there for the na player? 

Answer: 1.0
[Table] header: Player | Touchdowns | Extra points | Field goals | Safeties | Points row 1 : Bennie Oosterbaan | 8 | 0 | 0 | 0 | 48
row 2 : Benny Friedman | 3 | 22 | 2 | 0 | 46
row 3 : Bo Molenda | 6 | 0 | 0 | 0 | 36
row 4 : Bruce Gregory | 5 | 0 | 0 | 0 | 30
row 5 : Louis Gilbert | 3 | 2 | 0 | 0 | 20
row 6 : William Flora | 2 | 0 | 0 | 0 | 12
row 7 : James Miller | 1 | 1 | 0 | 0 | 7
row 8 : George Babcock | 1 | 0 | 0 | 0 | 6
row 9 : Sam Babcock | 1 | 0 | 0 | 0 | 6
row 10 : William Herrnstein | 1 | 0 | 0 | 0 | 6
row 11 : Leo Hoffman | 1 | 0 | 0 | 0 | 6
row 12 : Frederic Fuller | 0 | 1 | 0 | 0 | 1
row 13 : Carl Stamman | 0 | 1 | 0 | 0 | 1
row 14 : na | 0 | 0 | 0 | 1 | 2 [/Table] Answer this question based on the above table: The player who had 5 touchdowns had how many extra points? 

Answer: 0.0
[Table] header: Player | Touchdowns | Extra points | Field goals | Safeties | Points row 1 : Bennie Oosterbaan | 8 | 0 | 0 | 0 | 48
row 2 : Benny Friedman | 3 | 22 | 2 | 0 | 46
row 3 : Bo Molenda | 6 | 0 | 0 | 0 | 36
row 4 : Bruce Gregory | 5 | 0 | 0 | 0 | 30
row 5 : Louis Gilbert | 3 | 2 | 0 | 0 | 20
row 6 : William Flora | 2 | 0 | 0 | 0 | 12
row 7 : James Miller | 1 | 1 | 0 | 0 | 7
row 8 : George Babcock | 1 | 0 | 0 | 0 | 6
row 9 : Sam Babcock | 1 | 0 | 0 | 0 | 6
row 10 : William Herrnstein | 1 | 0 | 0 | 0 | 6
row 11 : Leo Hoffman | 1 | 0 | 0 | 0 | 6
row 12 : Frederic Fuller | 0 | 1 | 0 | 0 | 1
row 13 : Carl Stamman | 0 | 1 | 0 | 0 | 1
row 14 : na | 0 | 0 | 0 | 1 | 2 [/Table] Answer this question based on the above table: What is the smallest number of safeties? 

Answer: 0.0
[Table] header: Date (YYYY-MM-DD) | Time (UTC) | Latitude | Longitude | Depth | Magnitude row 1 : 2010-01-03 | 21:48:06 | 08.732° S | 157.496° E | km (mi) | 6.6 (M w )
row 2 : 2010-01-03 | 22:36:28 | 08.800° S | 157.370° E | km (mi) | 7.1 (M w )
row 3 : 2010-01-04 | 04:17:48 | 08.909° S | 157.619° E | km (mi) | 5.8 (M w )
row 4 : 2010-01-04 | 11:28:22 | 08.379° S | 157.113° E | km (mi) | 5.7 (M w )
row 5 : 2010-01-05 | 12:15:33 | 09.056° S | 157.585° E | km (mi) | 6.8 (M w )
row 6 : 2010-01-05 | 12:25:32 | 08.979° S | 158.091° E | km (mi) | 5.4 (M w )
row 7 : 2010-01-05 | 13:10:02 | 08.877° S | 157.621° E | km (mi) | 5.4 (M w )
row 8 : 2010-01-05 | 13:11:43 | 09.094° S | 157.941° E | km (mi) | 6.0 (M w )
row 9 : 2010-01-09 | 05:51:34 | 09.169° S | 157.614° E | km (mi) | 6.3 (M w ) [/Table] Answer this question based on the above table: If the longitude is 157.941° e, what is the latitude?

Answer: 09.094° S
[Table] header: Date (YYYY-MM-DD) | Time (UTC) | Latitude | Longitude | Depth | Magnitude row 1 : 2010-01-03 | 21:48:06 | 08.732° S | 157.496° E | km (mi) | 6.6 (M w )
row 2 : 2010-01-03 | 22:36:28 | 08.800° S | 157.370° E | km (mi) | 7.1 (M w )
row 3 : 2010-01-04 | 04:17:48 | 08.909° S | 157.619° E | km (mi) | 5.8 (M w )
row 4 : 2010-01-04 | 11:28:22 | 08.379° S | 157.113° E | km (mi) | 5.7 (M w )
row 5 : 2010-01-05 | 12:15:33 | 09.056° S | 157.585° E | km (mi) | 6.8 (M w )
row 6 : 2010-01-05 | 12:25:32 | 08.979° S | 158.091° E | km (mi) | 5.4 (M w )
row 7 : 2010-01-05 | 13:10:02 | 08.877° S | 157.621° E | km (mi) | 5.4 (M w )
row 8 : 2010-01-05 | 13:11:43 | 09.094° S | 157.941° E | km (mi) | 6.0 (M w )
row 9 : 2010-01-09 | 05:51:34 | 09.169° S | 157.614° E | km (mi) | 6.3 (M w ) [/Table] Answer this question based on the above table: If the latitude is 08.979° s, what is the depth?

Answer: km (mi)
[Table] header: Date (YYYY-MM-DD) | Time (UTC) | Latitude | Longitude | Depth | Magnitude row 1 : 2010-01-03 | 21:48:06 | 08.732° S | 157.496° E | km (mi) | 6.6 (M w )
row 2 : 2010-01-03 | 22:36:28 | 08.800° S | 157.370° E | km (mi) | 7.1 (M w )
row 3 : 2010-01-04 | 04:17:48 | 08.909° S | 157.619° E | km (mi) | 5.8 (M w )
row 4 : 2010-01-04 | 11:28:22 | 08.379° S | 157.113° E | km (mi) | 5.7 (M w )
row 5 : 2010-01-05 | 12:15:33 | 09.056° S | 157.585° E | km (mi) | 6.8 (M w )
row 6 : 2010-01-05 | 12:25:32 | 08.979° S | 158.091° E | km (mi) | 5.4 (M w )
row 7 : 2010-01-05 | 13:10:02 | 08.877° S | 157.621° E | km (mi) | 5.4 (M w )
row 8 : 2010-01-05 | 13:11:43 | 09.094° S | 157.941° E | km (mi) | 6.0 (M w )
row 9 : 2010-01-09 | 05:51:34 | 09.169° S | 157.614° E | km (mi) | 6.3 (M w ) [/Table] Answer this question based on the above table: At what latitude did the shock at time 13:10:02 occur?

Answer: 08.877° S
[Table] header: Date (YYYY-MM-DD) | Time (UTC) | Latitude | Longitude | Depth | Magnitude row 1 : 2010-01-03 | 21:48:06 | 08.732° S | 157.496° E | km (mi) | 6.6 (M w )
row 2 : 2010-01-03 | 22:36:28 | 08.800° S | 157.370° E | km (mi) | 7.1 (M w )
row 3 : 2010-01-04 | 04:17:48 | 08.909° S | 157.619° E | km (mi) | 5.8 (M w )
row 4 : 2010-01-04 | 11:28:22 | 08.379° S | 157.113° E | km (mi) | 5.7 (M w )
row 5 : 2010-01-05 | 12:15:33 | 09.056° S | 157.585° E | km (mi) | 6.8 (M w )
row 6 : 2010-01-05 | 12:25:32 | 08.979° S | 158.091° E | km (mi) | 5.4 (M w )
row 7 : 2010-01-05 | 13:10:02 | 08.877° S | 157.621° E | km (mi) | 5.4 (M w )
row 8 : 2010-01-05 | 13:11:43 | 09.094° S | 157.941° E | km (mi) | 6.0 (M w )
row 9 : 2010-01-09 | 05:51:34 | 09.169° S | 157.614° E | km (mi) | 6.3 (M w ) [/Table] Answer this question based on the above table: On which date did the shock at latitude 08.909° s occur?

Answer: 2010-01-04
[Table] header: Date (YYYY-MM-DD) | Time (UTC) | Latitude | Longitude | Depth | Magnitude row 1 : 2010-01-03 | 21:48:06 | 08.732° S | 157.496° E | km (mi) | 6.6 (M w )
row 2 : 2010-01-03 | 22:36:28 | 08.800° S | 157.370° E | km (mi) | 7.1 (M w )
row 3 : 2010-01-04 | 04:17:48 | 08.909° S | 157.619° E | km (mi) | 5.8 (M w )
row 4 : 2010-01-04 | 11:28:22 | 08.379° S | 157.113° E | km (mi) | 5.7 (M w )
row 5 : 2010-01-05 | 12:15:33 | 09.056° S | 157.585° E | km (mi) | 6.8 (M w )
row 6 : 2010-01-05 | 12:25:32 | 08.979° S | 158.091° E | km (mi) | 5.4 (M w )
row 7 : 2010-01-05 | 13:10:02 | 08.877° S | 157.621° E | km (mi) | 5.4 (M w )
row 8 : 2010-01-05 | 13:11:43 | 09.094° S | 157.941° E | km (mi) | 6.0 (M w )
row 9 : 2010-01-09 | 05:51:34 | 09.169° S | 157.614° E | km (mi) | 6.3 (M w ) [/Table] Answer this question based on the above table: What was the longitude for the shock that occured on 2010-01-09?

Answer: 157.614° E
[Table] header: Date (YYYY-MM-DD) | Time (UTC) | Latitude | Longitude | Depth | Magnitude row 1 : 2010-01-03 | 21:48:06 | 08.732° S | 157.496° E | km (mi) | 6.6 (M w )
row 2 : 2010-01-03 | 22:36:28 | 08.800° S | 157.370° E | km (mi) | 7.1 (M w )
row 3 : 2010-01-04 | 04:17:48 | 08.909° S | 157.619° E | km (mi) | 5.8 (M w )
row 4 : 2010-01-04 | 11:28:22 | 08.379° S | 157.113° E | km (mi) | 5.7 (M w )
row 5 : 2010-01-05 | 12:15:33 | 09.056° S | 157.585° E | km (mi) | 6.8 (M w )
row 6 : 2010-01-05 | 12:25:32 | 08.979° S | 158.091° E | km (mi) | 5.4 (M w )
row 7 : 2010-01-05 | 13:10:02 | 08.877° S | 157.621° E | km (mi) | 5.4 (M w )
row 8 : 2010-01-05 | 13:11:43 | 09.094° S | 157.941° E | km (mi) | 6.0 (M w )
row 9 : 2010-01-09 | 05:51:34 | 09.169° S | 157.614° E | km (mi) | 6.3 (M w ) [/Table] Answer this question based on the above table: If the longitude is 158.091° e, what is the depth?

Answer: km (mi)
[Table] header: Skip (Club) | W | L | PF | PA | Ends Won | Ends Lost | Blank Ends | Stolen Ends row 1 : Mary-Anne Arsenault (NS | 5 | 2 | 48 | 37 | 30 | 27 | 9 | 10
row 2 : Nancy McConnery (Dartmouth) | 5 | 2 | 45 | 34 | 29 | 25 | 11 | 8
row 3 : Sarah Rhyno (Halifax) | 4 | 3 | 44 | 38 | 23 | 25 | 13 | 6
row 4 : Jill Mouzar (Mayflower) | 4 | 3 | 38 | 37 | 25 | 25 | 8 | 6
row 5 : Margaret Cutcliffe (Mayflower) | 3 | 4 | 43 | 44 | 32 | 26 | 8 | 9
row 6 : Jocelyn Nix (Glooscap | 3 | 4 | 42 | 45 | 25 | 27 | 9 | 6
row 7 : Colleen Pinkney (Turo) | 3 | 4 | 41 | 45 | 26 | 27 | 4 | 7 [/Table] Answer this question based on the above table: What is the pa when skip (club) is jocelyn nix (glooscap)?

Answer: none
[Table] header: Skip (Club) | W | L | PF | PA | Ends Won | Ends Lost | Blank Ends | Stolen Ends row 1 : Mary-Anne Arsenault (NS | 5 | 2 | 48 | 37 | 30 | 27 | 9 | 10
row 2 : Nancy McConnery (Dartmouth) | 5 | 2 | 45 | 34 | 29 | 25 | 11 | 8
row 3 : Sarah Rhyno (Halifax) | 4 | 3 | 44 | 38 | 23 | 25 | 13 | 6
row 4 : Jill Mouzar (Mayflower) | 4 | 3 | 38 | 37 | 25 | 25 | 8 | 6
row 5 : Margaret Cutcliffe (Mayflower) | 3 | 4 | 43 | 44 | 32 | 26 | 8 | 9
row 6 : Jocelyn Nix (Glooscap | 3 | 4 | 42 | 45 | 25 | 27 | 9 | 6
row 7 : Colleen Pinkney (Turo) | 3 | 4 | 41 | 45 | 26 | 27 | 4 | 7 [/Table] Answer this question based on the above table: What is the highest number for W?

Answer: 5.0
[Table] header: Skip (Club) | W | L | PF | PA | Ends Won | Ends Lost | Blank Ends | Stolen Ends row 1 : Mary-Anne Arsenault (NS | 5 | 2 | 48 | 37 | 30 | 27 | 9 | 10
row 2 : Nancy McConnery (Dartmouth) | 5 | 2 | 45 | 34 | 29 | 25 | 11 | 8
row 3 : Sarah Rhyno (Halifax) | 4 | 3 | 44 | 38 | 23 | 25 | 13 | 6
row 4 : Jill Mouzar (Mayflower) | 4 | 3 | 38 | 37 | 25 | 25 | 8 | 6
row 5 : Margaret Cutcliffe (Mayflower) | 3 | 4 | 43 | 44 | 32 | 26 | 8 | 9
row 6 : Jocelyn Nix (Glooscap | 3 | 4 | 42 | 45 | 25 | 27 | 9 | 6
row 7 : Colleen Pinkney (Turo) | 3 | 4 | 41 | 45 | 26 | 27 | 4 | 7 [/Table] Answer this question based on the above table: What was the stolen ends when ends won is 32?

Answer: 9.0
[Table] header: Skip (Club) | W | L | PF | PA | Ends Won | Ends Lost | Blank Ends | Stolen Ends row 1 : Mary-Anne Arsenault (NS | 5 | 2 | 48 | 37 | 30 | 27 | 9 | 10
row 2 : Nancy McConnery (Dartmouth) | 5 | 2 | 45 | 34 | 29 | 25 | 11 | 8
row 3 : Sarah Rhyno (Halifax) | 4 | 3 | 44 | 38 | 23 | 25 | 13 | 6
row 4 : Jill Mouzar (Mayflower) | 4 | 3 | 38 | 37 | 25 | 25 | 8 | 6
row 5 : Margaret Cutcliffe (Mayflower) | 3 | 4 | 43 | 44 | 32 | 26 | 8 | 9
row 6 : Jocelyn Nix (Glooscap | 3 | 4 | 42 | 45 | 25 | 27 | 9 | 6
row 7 : Colleen Pinkney (Turo) | 3 | 4 | 41 | 45 | 26 | 27 | 4 | 7 [/Table] Answer this question based on the above table: What is shown for ends lost when pa is 44?

Answer: 26.0
[Table] header: Skip (Club) | W | L | PF | PA | Ends Won | Ends Lost | Blank Ends | Stolen Ends row 1 : Mary-Anne Arsenault (NS | 5 | 2 | 48 | 37 | 30 | 27 | 9 | 10
row 2 : Nancy McConnery (Dartmouth) | 5 | 2 | 45 | 34 | 29 | 25 | 11 | 8
row 3 : Sarah Rhyno (Halifax) | 4 | 3 | 44 | 38 | 23 | 25 | 13 | 6
row 4 : Jill Mouzar (Mayflower) | 4 | 3 | 38 | 37 | 25 | 25 | 8 | 6
row 5 : Margaret Cutcliffe (Mayflower) | 3 | 4 | 43 | 44 | 32 | 26 | 8 | 9
row 6 : Jocelyn Nix (Glooscap | 3 | 4 | 42 | 45 | 25 | 27 | 9 | 6
row 7 : Colleen Pinkney (Turo) | 3 | 4 | 41 | 45 | 26 | 27 | 4 | 7 [/Table] Answer this question based on the above table: What is the PA when  skip (club) is mary-anne arsenault (nsca)?

Answer: none
[Table] header: Episode # | The Wørd | Guest | Introductory phrase | Original airdate | Production code row 1 : 725 | "P.R.-mageddon" | Mark Frauenfelder | None | June 8 | 6073
row 2 : 726 | "None" | Michael Oren , Sam Nunn | None | June 9 | 6074
row 3 : 727 | "None" | Marc Fisher , Mark Starr , Alan | None | June 10 | 6075
row 4 : 731 | "None" | Bob Inglis , David Mamet | None | June 17 | 6079
row 5 : 732 | "None" | Steve Lindsey , Wes Moore | None | June 21 | 6080
row 6 : 733 | "None" | Gloria Steinem | None | June 22 | 6081
row 7 : 736 | "None" | Michael Hastings , John Waters | None | June 28 | 6084 [/Table] Answer this question based on the above table: What was the original airdate of episode #733?

Answer: June 22
[Table] header: Episode # | The Wørd | Guest | Introductory phrase | Original airdate | Production code row 1 : 725 | "P.R.-mageddon" | Mark Frauenfelder | None | June 8 | 6073
row 2 : 726 | "None" | Michael Oren , Sam Nunn | None | June 9 | 6074
row 3 : 727 | "None" | Marc Fisher , Mark Starr , Alan | None | June 10 | 6075
row 4 : 731 | "None" | Bob Inglis , David Mamet | None | June 17 | 6079
row 5 : 732 | "None" | Steve Lindsey , Wes Moore | None | June 21 | 6080
row 6 : 733 | "None" | Gloria Steinem | None | June 22 | 6081
row 7 : 736 | "None" | Michael Hastings , John Waters | None | June 28 | 6084 [/Table] Answer this question based on the above table: Who was the guest on the episode where The Word was "P.R.-mageddon"?

Answer: Mark Frauenfelder
[Table] header: Episode # | The Wørd | Guest | Introductory phrase | Original airdate | Production code row 1 : 725 | "P.R.-mageddon" | Mark Frauenfelder | None | June 8 | 6073
row 2 : 726 | "None" | Michael Oren , Sam Nunn | None | June 9 | 6074
row 3 : 727 | "None" | Marc Fisher , Mark Starr , Alan | None | June 10 | 6075
row 4 : 731 | "None" | Bob Inglis , David Mamet | None | June 17 | 6079
row 5 : 732 | "None" | Steve Lindsey , Wes Moore | None | June 21 | 6080
row 6 : 733 | "None" | Gloria Steinem | None | June 22 | 6081
row 7 : 736 | "None" | Michael Hastings , John Waters | None | June 28 | 6084 [/Table] Answer this question based on the above table: What was The Word for production code 6084?

Answer: "None"
[Table] header: Episode # | The Wørd | Guest | Introductory phrase | Original airdate | Production code row 1 : 725 | "P.R.-mageddon" | Mark Frauenfelder | None | June 8 | 6073
row 2 : 726 | "None" | Michael Oren , Sam Nunn | None | June 9 | 6074
row 3 : 727 | "None" | Marc Fisher , Mark Starr , Alan | None | June 10 | 6075
row 4 : 731 | "None" | Bob Inglis , David Mamet | None | June 17 | 6079
row 5 : 732 | "None" | Steve Lindsey , Wes Moore | None | June 21 | 6080
row 6 : 733 | "None" | Gloria Steinem | None | June 22 | 6081
row 7 : 736 | "None" | Michael Hastings , John Waters | None | June 28 | 6084 [/Table] Answer this question based on the above table: What was the number of "The Word" segments for episode number 727?

Answer: 1.0