sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla row 1 : 2011 Q2 | 54.36% | 21.67% | 7.30% | 1.97% | 0.79% | 0.03%
row 2 : 2011 Q1 | 56.19% | 22.11% | 6.43% | 2.20% | 0.75% | 0.03%
row 3 : 2010 Q4 | 58.27% | 22.80% | 5.59% | 2.24% | 0.67% | 0.03%
row 4 : 2010 Q3 | 60.29% | 22.93% | 5.17% | 2.40% | 0.52% | 0.02%
row 5 : 2010 Q2 | 60.01% | 24.24% | 4.78% | 2.33% | 0.49% | 0.12%
row 6 : 2010 Q1 | 61.43% | 24.40% | 4.55% | 2.37% | 0.52% | 0.15%
row 7 : 2009 Q4 | 63.67% | 24.46% | 4.41% | 2.29% | 0.32% | 0.11%
row 8 : 2009 Q3 | 66.80% | 23.06% | 4.13% | 2.07% | 0.50% | 0.09%
row 9 : 2009 Q2 | 68.06% | 23.00% | 3.67% | 2.05% | 0.68% | 0.06%
row 10 : 2009 Q1 | 69.13% | 22.67% | 3.58% | 2.18% | 0.51% | 0.06%
row 11 : 2008 Q4 | 71.99% | 20.78% | 3.11% | 2.15% | 0.41% | 0.07%
row 12 : 2008 Q3 | 74.93% | 19.07% | 2.73% | 2.06% | 0.43% | 0.07%
row 13 : 2008 Q2 | 76.24% | 18.16% | 2.73% | 1.97% | 0.48% | 0.08%
row 14 : 2008 Q1 | 77.83% | 16.86% | 2.65% | 1.84% | 0.41% | 0.13%
row 15 : *2007 Q4 | *79.16% | *15.84% | *2.39% | *1.78% | *0.50% | *0.09%
row 16 : *2007 Q3 | *78.85% | *14.69% | *4.80% | *0.51% | *0.76% | *0.11%
row 17 : *2007 Q2 | *78.76% | *14.92% | *4.66% | *0.46% | *0.83% | *0.15%
row 18 : *2007 Q1 | *79.38% | *14.35% | *4.70% | *0.50% | *0.77% | *0.19%
row 19 : *2006 Q4 | *80.69% | *13.50% | *4.06% | *0.56% | *0.86% | *0.23%
row 20 : *2006 Q3 | *82.88% | *11.89% | *3.30% | *0.62% | *0.88% | *0.26%
row 21 : *2006 Q2 | *84.03% | *10.67% | *3.25% | *0.57% | *0.98% | *0.32%
row 22 : *2006 Q1 | *85.01% | *9.77% | *3.10% | *0.53% | *1.09% | *0.36%
row 23 : *2005 Q4 | *85.88% | *9.00% | *2.80% | *0.54% | *1.25% | *0.43%
row 24 : *2005 Q3 | *86.74% | *7.97% | *2.24% | *0.55% | *1.92% | *0.48%
row 25 : *2005 Q2 | *87.24% | *8.08% | *1.89% | *0.52% | *1.62% | *0.59%
row 26 : *2005 Q1 | *89.02% | *6.17% | *1.70% | *0.49% | *1.89% | *0.67%
row 27 : *2004 Q4 | *91.35% | *3.66% | *1.50% | *0.51% | *2.09% | *0.80%
row 28 : Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla [/Table] Answer this question based on the above table: What percentage of users were using Netscape during the period in which 21.67% were using Firefox?

Answer: 0.79%
[Table] header: Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla row 1 : 2011 Q2 | 54.36% | 21.67% | 7.30% | 1.97% | 0.79% | 0.03%
row 2 : 2011 Q1 | 56.19% | 22.11% | 6.43% | 2.20% | 0.75% | 0.03%
row 3 : 2010 Q4 | 58.27% | 22.80% | 5.59% | 2.24% | 0.67% | 0.03%
row 4 : 2010 Q3 | 60.29% | 22.93% | 5.17% | 2.40% | 0.52% | 0.02%
row 5 : 2010 Q2 | 60.01% | 24.24% | 4.78% | 2.33% | 0.49% | 0.12%
row 6 : 2010 Q1 | 61.43% | 24.40% | 4.55% | 2.37% | 0.52% | 0.15%
row 7 : 2009 Q4 | 63.67% | 24.46% | 4.41% | 2.29% | 0.32% | 0.11%
row 8 : 2009 Q3 | 66.80% | 23.06% | 4.13% | 2.07% | 0.50% | 0.09%
row 9 : 2009 Q2 | 68.06% | 23.00% | 3.67% | 2.05% | 0.68% | 0.06%
row 10 : 2009 Q1 | 69.13% | 22.67% | 3.58% | 2.18% | 0.51% | 0.06%
row 11 : 2008 Q4 | 71.99% | 20.78% | 3.11% | 2.15% | 0.41% | 0.07%
row 12 : 2008 Q3 | 74.93% | 19.07% | 2.73% | 2.06% | 0.43% | 0.07%
row 13 : 2008 Q2 | 76.24% | 18.16% | 2.73% | 1.97% | 0.48% | 0.08%
row 14 : 2008 Q1 | 77.83% | 16.86% | 2.65% | 1.84% | 0.41% | 0.13%
row 15 : *2007 Q4 | *79.16% | *15.84% | *2.39% | *1.78% | *0.50% | *0.09%
row 16 : *2007 Q3 | *78.85% | *14.69% | *4.80% | *0.51% | *0.76% | *0.11%
row 17 : *2007 Q2 | *78.76% | *14.92% | *4.66% | *0.46% | *0.83% | *0.15%
row 18 : *2007 Q1 | *79.38% | *14.35% | *4.70% | *0.50% | *0.77% | *0.19%
row 19 : *2006 Q4 | *80.69% | *13.50% | *4.06% | *0.56% | *0.86% | *0.23%
row 20 : *2006 Q3 | *82.88% | *11.89% | *3.30% | *0.62% | *0.88% | *0.26%
row 21 : *2006 Q2 | *84.03% | *10.67% | *3.25% | *0.57% | *0.98% | *0.32%
row 22 : *2006 Q1 | *85.01% | *9.77% | *3.10% | *0.53% | *1.09% | *0.36%
row 23 : *2005 Q4 | *85.88% | *9.00% | *2.80% | *0.54% | *1.25% | *0.43%
row 24 : *2005 Q3 | *86.74% | *7.97% | *2.24% | *0.55% | *1.92% | *0.48%
row 25 : *2005 Q2 | *87.24% | *8.08% | *1.89% | *0.52% | *1.62% | *0.59%
row 26 : *2005 Q1 | *89.02% | *6.17% | *1.70% | *0.49% | *1.89% | *0.67%
row 27 : *2004 Q4 | *91.35% | *3.66% | *1.50% | *0.51% | *2.09% | *0.80%
row 28 : Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla [/Table] Answer this question based on the above table: What percentage of users were using Safari during the period in which 2.33% were using Opera?

Answer: 4.78%
[Table] header: Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla row 1 : 2011 Q2 | 54.36% | 21.67% | 7.30% | 1.97% | 0.79% | 0.03%
row 2 : 2011 Q1 | 56.19% | 22.11% | 6.43% | 2.20% | 0.75% | 0.03%
row 3 : 2010 Q4 | 58.27% | 22.80% | 5.59% | 2.24% | 0.67% | 0.03%
row 4 : 2010 Q3 | 60.29% | 22.93% | 5.17% | 2.40% | 0.52% | 0.02%
row 5 : 2010 Q2 | 60.01% | 24.24% | 4.78% | 2.33% | 0.49% | 0.12%
row 6 : 2010 Q1 | 61.43% | 24.40% | 4.55% | 2.37% | 0.52% | 0.15%
row 7 : 2009 Q4 | 63.67% | 24.46% | 4.41% | 2.29% | 0.32% | 0.11%
row 8 : 2009 Q3 | 66.80% | 23.06% | 4.13% | 2.07% | 0.50% | 0.09%
row 9 : 2009 Q2 | 68.06% | 23.00% | 3.67% | 2.05% | 0.68% | 0.06%
row 10 : 2009 Q1 | 69.13% | 22.67% | 3.58% | 2.18% | 0.51% | 0.06%
row 11 : 2008 Q4 | 71.99% | 20.78% | 3.11% | 2.15% | 0.41% | 0.07%
row 12 : 2008 Q3 | 74.93% | 19.07% | 2.73% | 2.06% | 0.43% | 0.07%
row 13 : 2008 Q2 | 76.24% | 18.16% | 2.73% | 1.97% | 0.48% | 0.08%
row 14 : 2008 Q1 | 77.83% | 16.86% | 2.65% | 1.84% | 0.41% | 0.13%
row 15 : *2007 Q4 | *79.16% | *15.84% | *2.39% | *1.78% | *0.50% | *0.09%
row 16 : *2007 Q3 | *78.85% | *14.69% | *4.80% | *0.51% | *0.76% | *0.11%
row 17 : *2007 Q2 | *78.76% | *14.92% | *4.66% | *0.46% | *0.83% | *0.15%
row 18 : *2007 Q1 | *79.38% | *14.35% | *4.70% | *0.50% | *0.77% | *0.19%
row 19 : *2006 Q4 | *80.69% | *13.50% | *4.06% | *0.56% | *0.86% | *0.23%
row 20 : *2006 Q3 | *82.88% | *11.89% | *3.30% | *0.62% | *0.88% | *0.26%
row 21 : *2006 Q2 | *84.03% | *10.67% | *3.25% | *0.57% | *0.98% | *0.32%
row 22 : *2006 Q1 | *85.01% | *9.77% | *3.10% | *0.53% | *1.09% | *0.36%
row 23 : *2005 Q4 | *85.88% | *9.00% | *2.80% | *0.54% | *1.25% | *0.43%
row 24 : *2005 Q3 | *86.74% | *7.97% | *2.24% | *0.55% | *1.92% | *0.48%
row 25 : *2005 Q2 | *87.24% | *8.08% | *1.89% | *0.52% | *1.62% | *0.59%
row 26 : *2005 Q1 | *89.02% | *6.17% | *1.70% | *0.49% | *1.89% | *0.67%
row 27 : *2004 Q4 | *91.35% | *3.66% | *1.50% | *0.51% | *2.09% | *0.80%
row 28 : Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla [/Table] Answer this question based on the above table: What percentage of users were using Netscape during the period in which 63.67% were using Internet Explorer?

Answer: 0.32%
[Table] header: Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla row 1 : 2011 Q2 | 54.36% | 21.67% | 7.30% | 1.97% | 0.79% | 0.03%
row 2 : 2011 Q1 | 56.19% | 22.11% | 6.43% | 2.20% | 0.75% | 0.03%
row 3 : 2010 Q4 | 58.27% | 22.80% | 5.59% | 2.24% | 0.67% | 0.03%
row 4 : 2010 Q3 | 60.29% | 22.93% | 5.17% | 2.40% | 0.52% | 0.02%
row 5 : 2010 Q2 | 60.01% | 24.24% | 4.78% | 2.33% | 0.49% | 0.12%
row 6 : 2010 Q1 | 61.43% | 24.40% | 4.55% | 2.37% | 0.52% | 0.15%
row 7 : 2009 Q4 | 63.67% | 24.46% | 4.41% | 2.29% | 0.32% | 0.11%
row 8 : 2009 Q3 | 66.80% | 23.06% | 4.13% | 2.07% | 0.50% | 0.09%
row 9 : 2009 Q2 | 68.06% | 23.00% | 3.67% | 2.05% | 0.68% | 0.06%
row 10 : 2009 Q1 | 69.13% | 22.67% | 3.58% | 2.18% | 0.51% | 0.06%
row 11 : 2008 Q4 | 71.99% | 20.78% | 3.11% | 2.15% | 0.41% | 0.07%
row 12 : 2008 Q3 | 74.93% | 19.07% | 2.73% | 2.06% | 0.43% | 0.07%
row 13 : 2008 Q2 | 76.24% | 18.16% | 2.73% | 1.97% | 0.48% | 0.08%
row 14 : 2008 Q1 | 77.83% | 16.86% | 2.65% | 1.84% | 0.41% | 0.13%
row 15 : *2007 Q4 | *79.16% | *15.84% | *2.39% | *1.78% | *0.50% | *0.09%
row 16 : *2007 Q3 | *78.85% | *14.69% | *4.80% | *0.51% | *0.76% | *0.11%
row 17 : *2007 Q2 | *78.76% | *14.92% | *4.66% | *0.46% | *0.83% | *0.15%
row 18 : *2007 Q1 | *79.38% | *14.35% | *4.70% | *0.50% | *0.77% | *0.19%
row 19 : *2006 Q4 | *80.69% | *13.50% | *4.06% | *0.56% | *0.86% | *0.23%
row 20 : *2006 Q3 | *82.88% | *11.89% | *3.30% | *0.62% | *0.88% | *0.26%
row 21 : *2006 Q2 | *84.03% | *10.67% | *3.25% | *0.57% | *0.98% | *0.32%
row 22 : *2006 Q1 | *85.01% | *9.77% | *3.10% | *0.53% | *1.09% | *0.36%
row 23 : *2005 Q4 | *85.88% | *9.00% | *2.80% | *0.54% | *1.25% | *0.43%
row 24 : *2005 Q3 | *86.74% | *7.97% | *2.24% | *0.55% | *1.92% | *0.48%
row 25 : *2005 Q2 | *87.24% | *8.08% | *1.89% | *0.52% | *1.62% | *0.59%
row 26 : *2005 Q1 | *89.02% | *6.17% | *1.70% | *0.49% | *1.89% | *0.67%
row 27 : *2004 Q4 | *91.35% | *3.66% | *1.50% | *0.51% | *2.09% | *0.80%
row 28 : Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla [/Table] Answer this question based on the above table: What percentage of users were using Firefox during the period in which *0.77% were using Netscape?

Answer: *14.35%
[Table] header: Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla row 1 : 2011 Q2 | 54.36% | 21.67% | 7.30% | 1.97% | 0.79% | 0.03%
row 2 : 2011 Q1 | 56.19% | 22.11% | 6.43% | 2.20% | 0.75% | 0.03%
row 3 : 2010 Q4 | 58.27% | 22.80% | 5.59% | 2.24% | 0.67% | 0.03%
row 4 : 2010 Q3 | 60.29% | 22.93% | 5.17% | 2.40% | 0.52% | 0.02%
row 5 : 2010 Q2 | 60.01% | 24.24% | 4.78% | 2.33% | 0.49% | 0.12%
row 6 : 2010 Q1 | 61.43% | 24.40% | 4.55% | 2.37% | 0.52% | 0.15%
row 7 : 2009 Q4 | 63.67% | 24.46% | 4.41% | 2.29% | 0.32% | 0.11%
row 8 : 2009 Q3 | 66.80% | 23.06% | 4.13% | 2.07% | 0.50% | 0.09%
row 9 : 2009 Q2 | 68.06% | 23.00% | 3.67% | 2.05% | 0.68% | 0.06%
row 10 : 2009 Q1 | 69.13% | 22.67% | 3.58% | 2.18% | 0.51% | 0.06%
row 11 : 2008 Q4 | 71.99% | 20.78% | 3.11% | 2.15% | 0.41% | 0.07%
row 12 : 2008 Q3 | 74.93% | 19.07% | 2.73% | 2.06% | 0.43% | 0.07%
row 13 : 2008 Q2 | 76.24% | 18.16% | 2.73% | 1.97% | 0.48% | 0.08%
row 14 : 2008 Q1 | 77.83% | 16.86% | 2.65% | 1.84% | 0.41% | 0.13%
row 15 : *2007 Q4 | *79.16% | *15.84% | *2.39% | *1.78% | *0.50% | *0.09%
row 16 : *2007 Q3 | *78.85% | *14.69% | *4.80% | *0.51% | *0.76% | *0.11%
row 17 : *2007 Q2 | *78.76% | *14.92% | *4.66% | *0.46% | *0.83% | *0.15%
row 18 : *2007 Q1 | *79.38% | *14.35% | *4.70% | *0.50% | *0.77% | *0.19%
row 19 : *2006 Q4 | *80.69% | *13.50% | *4.06% | *0.56% | *0.86% | *0.23%
row 20 : *2006 Q3 | *82.88% | *11.89% | *3.30% | *0.62% | *0.88% | *0.26%
row 21 : *2006 Q2 | *84.03% | *10.67% | *3.25% | *0.57% | *0.98% | *0.32%
row 22 : *2006 Q1 | *85.01% | *9.77% | *3.10% | *0.53% | *1.09% | *0.36%
row 23 : *2005 Q4 | *85.88% | *9.00% | *2.80% | *0.54% | *1.25% | *0.43%
row 24 : *2005 Q3 | *86.74% | *7.97% | *2.24% | *0.55% | *1.92% | *0.48%
row 25 : *2005 Q2 | *87.24% | *8.08% | *1.89% | *0.52% | *1.62% | *0.59%
row 26 : *2005 Q1 | *89.02% | *6.17% | *1.70% | *0.49% | *1.89% | *0.67%
row 27 : *2004 Q4 | *91.35% | *3.66% | *1.50% | *0.51% | *2.09% | *0.80%
row 28 : Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla [/Table] Answer this question based on the above table: What percentage of users were using other Mozilla browsers during the period in which 2.29% were using Opera?

Answer: 0.11%
[Table] header: Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla row 1 : 2011 Q2 | 54.36% | 21.67% | 7.30% | 1.97% | 0.79% | 0.03%
row 2 : 2011 Q1 | 56.19% | 22.11% | 6.43% | 2.20% | 0.75% | 0.03%
row 3 : 2010 Q4 | 58.27% | 22.80% | 5.59% | 2.24% | 0.67% | 0.03%
row 4 : 2010 Q3 | 60.29% | 22.93% | 5.17% | 2.40% | 0.52% | 0.02%
row 5 : 2010 Q2 | 60.01% | 24.24% | 4.78% | 2.33% | 0.49% | 0.12%
row 6 : 2010 Q1 | 61.43% | 24.40% | 4.55% | 2.37% | 0.52% | 0.15%
row 7 : 2009 Q4 | 63.67% | 24.46% | 4.41% | 2.29% | 0.32% | 0.11%
row 8 : 2009 Q3 | 66.80% | 23.06% | 4.13% | 2.07% | 0.50% | 0.09%
row 9 : 2009 Q2 | 68.06% | 23.00% | 3.67% | 2.05% | 0.68% | 0.06%
row 10 : 2009 Q1 | 69.13% | 22.67% | 3.58% | 2.18% | 0.51% | 0.06%
row 11 : 2008 Q4 | 71.99% | 20.78% | 3.11% | 2.15% | 0.41% | 0.07%
row 12 : 2008 Q3 | 74.93% | 19.07% | 2.73% | 2.06% | 0.43% | 0.07%
row 13 : 2008 Q2 | 76.24% | 18.16% | 2.73% | 1.97% | 0.48% | 0.08%
row 14 : 2008 Q1 | 77.83% | 16.86% | 2.65% | 1.84% | 0.41% | 0.13%
row 15 : *2007 Q4 | *79.16% | *15.84% | *2.39% | *1.78% | *0.50% | *0.09%
row 16 : *2007 Q3 | *78.85% | *14.69% | *4.80% | *0.51% | *0.76% | *0.11%
row 17 : *2007 Q2 | *78.76% | *14.92% | *4.66% | *0.46% | *0.83% | *0.15%
row 18 : *2007 Q1 | *79.38% | *14.35% | *4.70% | *0.50% | *0.77% | *0.19%
row 19 : *2006 Q4 | *80.69% | *13.50% | *4.06% | *0.56% | *0.86% | *0.23%
row 20 : *2006 Q3 | *82.88% | *11.89% | *3.30% | *0.62% | *0.88% | *0.26%
row 21 : *2006 Q2 | *84.03% | *10.67% | *3.25% | *0.57% | *0.98% | *0.32%
row 22 : *2006 Q1 | *85.01% | *9.77% | *3.10% | *0.53% | *1.09% | *0.36%
row 23 : *2005 Q4 | *85.88% | *9.00% | *2.80% | *0.54% | *1.25% | *0.43%
row 24 : *2005 Q3 | *86.74% | *7.97% | *2.24% | *0.55% | *1.92% | *0.48%
row 25 : *2005 Q2 | *87.24% | *8.08% | *1.89% | *0.52% | *1.62% | *0.59%
row 26 : *2005 Q1 | *89.02% | *6.17% | *1.70% | *0.49% | *1.89% | *0.67%
row 27 : *2004 Q4 | *91.35% | *3.66% | *1.50% | *0.51% | *2.09% | *0.80%
row 28 : Period | Internet Explorer | Firefox | Safari | Opera | Netscape | Other Mozilla [/Table] Answer this question based on the above table: What percentage of users were using Opera during the period in which 63.67% were using Internet Explorer?

Answer: 2.29%
[Table] header: Entities | Country | Supply point | Voltage (kV) | Power (MW) row 1 : FURNAS, ELECTROSUL | Brazil | Itaipu | 500 | 7,000
row 2 : EBISA | Argentina | Yacyretá | 500 | 1,540
row 3 : ENERSUL | Brazil | Pedro Juan Caballero | 23 | 3
row 4 : COPEL | Brazil | Acaray | 132 | 50
row 5 : EMSA | Argentina | C.A. López | 132 | 30
row 6 : TRANSNEA/EDEFOR | Argentina | Guarambaré | 220 | 80 [/Table] Answer this question based on the above table: Which Country has Entities of emsa?

Answer: Argentina
[Table] header: Entities | Country | Supply point | Voltage (kV) | Power (MW) row 1 : FURNAS, ELECTROSUL | Brazil | Itaipu | 500 | 7,000
row 2 : EBISA | Argentina | Yacyretá | 500 | 1,540
row 3 : ENERSUL | Brazil | Pedro Juan Caballero | 23 | 3
row 4 : COPEL | Brazil | Acaray | 132 | 50
row 5 : EMSA | Argentina | C.A. López | 132 | 30
row 6 : TRANSNEA/EDEFOR | Argentina | Guarambaré | 220 | 80 [/Table] Answer this question based on the above table: Which Power (MW) has a Voltage (kV) of 500, and a Country of argentina?

Answer: 1540.0
[Table] header: Entities | Country | Supply point | Voltage (kV) | Power (MW) row 1 : FURNAS, ELECTROSUL | Brazil | Itaipu | 500 | 7,000
row 2 : EBISA | Argentina | Yacyretá | 500 | 1,540
row 3 : ENERSUL | Brazil | Pedro Juan Caballero | 23 | 3
row 4 : COPEL | Brazil | Acaray | 132 | 50
row 5 : EMSA | Argentina | C.A. López | 132 | 30
row 6 : TRANSNEA/EDEFOR | Argentina | Guarambaré | 220 | 80 [/Table] Answer this question based on the above table: How much Voltage (kV) has a Country of argentina, and a Power (MW) larger than 30, and a Supply point of yacyretá?

Answer: 1.0
[Table] header: Number | Sanskrit | International Alphabet of Sanskrit Transliteration | Sanskrit gloss | Western name | Greek | Gloss | Tattva (Element) | Quality | Ruling Planet row 1 : 1 | मेष | Meṣa | ram | Aries | Κριός | ram | Tejas (Fire) | Cara (Movable) | Mars
row 2 : 2 | वृषभ | Vṛṣabha | bull | Taurus | Ταῦρος | bull | Prithivi (Earth) | Sthira (Fixed) | Venus
row 3 : 3 | मिथुन | Mithuna | twins | Gemini | Δίδυμοι | twins | Vayu (Air) | Dvisvabhava (Dual) | Mercury
row 4 : 4 | कर्कट | Karkaṭa | crab | Cancer | Καρκίνος | crab | Jala (Water) | Cara (Movable) | Moon
row 5 : 5 | सिंह | Siṃha | lion | Leo | Λέων | lion | Tejas (Fire) | Sthira (Fixed) | Sun
row 6 : 6 | कन्या | Kanyā | girl | Virgo | Παρθένος | virgin | Prithivi (Earth) | Dvisvabhava (Dual) | Mercury
row 7 : 7 | तुला | Tulā | balance | Libra | Ζυγός | balance | Vayu (Air) | Cara (Movable) | Venus
row 8 : 8 | वृश्चिक | Vṛścika | scorpion | Scorpio | Σκoρπιός | scorpion | Jala (Water) | Sthira (Fixed) | Mars
row 9 : 9 | धनुष | Dhanus | bow | Sagittarius | Τοξότης | archer | Tejas (Fire) | Dvisvabhava (Dual) | Jupiter
row 10 : 10 | मकर | Makara | sea-monster | Capricorn | Αἰγόκερως | goat-horned | Prithivi (Earth) | Cara (Movable) | Saturn
row 11 : 11 | कुम्भ | Kumbha | pitcher | Aquarius | Ὑδροχόος | water-pourer | Vayu (Air) | Sthira (Fixed) | Saturn
row 12 : 12 | मीन | Mīna | fish | Pisces | Ἰχθεῖς | fishes | Jala (Water) | Dvisvabhava (Dual) | Jupiter [/Table] Answer this question based on the above table: What is the international alphabet sanskrit transliteration of मेष?

Answer: Meṣa
[Table] header: Number | Sanskrit | International Alphabet of Sanskrit Transliteration | Sanskrit gloss | Western name | Greek | Gloss | Tattva (Element) | Quality | Ruling Planet row 1 : 1 | मेष | Meṣa | ram | Aries | Κριός | ram | Tejas (Fire) | Cara (Movable) | Mars
row 2 : 2 | वृषभ | Vṛṣabha | bull | Taurus | Ταῦρος | bull | Prithivi (Earth) | Sthira (Fixed) | Venus
row 3 : 3 | मिथुन | Mithuna | twins | Gemini | Δίδυμοι | twins | Vayu (Air) | Dvisvabhava (Dual) | Mercury
row 4 : 4 | कर्कट | Karkaṭa | crab | Cancer | Καρκίνος | crab | Jala (Water) | Cara (Movable) | Moon
row 5 : 5 | सिंह | Siṃha | lion | Leo | Λέων | lion | Tejas (Fire) | Sthira (Fixed) | Sun
row 6 : 6 | कन्या | Kanyā | girl | Virgo | Παρθένος | virgin | Prithivi (Earth) | Dvisvabhava (Dual) | Mercury
row 7 : 7 | तुला | Tulā | balance | Libra | Ζυγός | balance | Vayu (Air) | Cara (Movable) | Venus
row 8 : 8 | वृश्चिक | Vṛścika | scorpion | Scorpio | Σκoρπιός | scorpion | Jala (Water) | Sthira (Fixed) | Mars
row 9 : 9 | धनुष | Dhanus | bow | Sagittarius | Τοξότης | archer | Tejas (Fire) | Dvisvabhava (Dual) | Jupiter
row 10 : 10 | मकर | Makara | sea-monster | Capricorn | Αἰγόκερως | goat-horned | Prithivi (Earth) | Cara (Movable) | Saturn
row 11 : 11 | कुम्भ | Kumbha | pitcher | Aquarius | Ὑδροχόος | water-pourer | Vayu (Air) | Sthira (Fixed) | Saturn
row 12 : 12 | मीन | Mīna | fish | Pisces | Ἰχθεῖς | fishes | Jala (Water) | Dvisvabhava (Dual) | Jupiter [/Table] Answer this question based on the above table: What is the quality of the international alphabet of the sanskrit transliteration for the word Dhanus?

Answer: Dvisvabhava (Dual)
[Table] header: Number | Sanskrit | International Alphabet of Sanskrit Transliteration | Sanskrit gloss | Western name | Greek | Gloss | Tattva (Element) | Quality | Ruling Planet row 1 : 1 | मेष | Meṣa | ram | Aries | Κριός | ram | Tejas (Fire) | Cara (Movable) | Mars
row 2 : 2 | वृषभ | Vṛṣabha | bull | Taurus | Ταῦρος | bull | Prithivi (Earth) | Sthira (Fixed) | Venus
row 3 : 3 | मिथुन | Mithuna | twins | Gemini | Δίδυμοι | twins | Vayu (Air) | Dvisvabhava (Dual) | Mercury
row 4 : 4 | कर्कट | Karkaṭa | crab | Cancer | Καρκίνος | crab | Jala (Water) | Cara (Movable) | Moon
row 5 : 5 | सिंह | Siṃha | lion | Leo | Λέων | lion | Tejas (Fire) | Sthira (Fixed) | Sun
row 6 : 6 | कन्या | Kanyā | girl | Virgo | Παρθένος | virgin | Prithivi (Earth) | Dvisvabhava (Dual) | Mercury
row 7 : 7 | तुला | Tulā | balance | Libra | Ζυγός | balance | Vayu (Air) | Cara (Movable) | Venus
row 8 : 8 | वृश्चिक | Vṛścika | scorpion | Scorpio | Σκoρπιός | scorpion | Jala (Water) | Sthira (Fixed) | Mars
row 9 : 9 | धनुष | Dhanus | bow | Sagittarius | Τοξότης | archer | Tejas (Fire) | Dvisvabhava (Dual) | Jupiter
row 10 : 10 | मकर | Makara | sea-monster | Capricorn | Αἰγόκερως | goat-horned | Prithivi (Earth) | Cara (Movable) | Saturn
row 11 : 11 | कुम्भ | Kumbha | pitcher | Aquarius | Ὑδροχόος | water-pourer | Vayu (Air) | Sthira (Fixed) | Saturn
row 12 : 12 | मीन | Mīna | fish | Pisces | Ἰχθεῖς | fishes | Jala (Water) | Dvisvabhava (Dual) | Jupiter [/Table] Answer this question based on the above table: What is the lowest number for the english word Aquarius?

Answer: 11.0
[Table] header: Number | Sanskrit | International Alphabet of Sanskrit Transliteration | Sanskrit gloss | Western name | Greek | Gloss | Tattva (Element) | Quality | Ruling Planet row 1 : 1 | मेष | Meṣa | ram | Aries | Κριός | ram | Tejas (Fire) | Cara (Movable) | Mars
row 2 : 2 | वृषभ | Vṛṣabha | bull | Taurus | Ταῦρος | bull | Prithivi (Earth) | Sthira (Fixed) | Venus
row 3 : 3 | मिथुन | Mithuna | twins | Gemini | Δίδυμοι | twins | Vayu (Air) | Dvisvabhava (Dual) | Mercury
row 4 : 4 | कर्कट | Karkaṭa | crab | Cancer | Καρκίνος | crab | Jala (Water) | Cara (Movable) | Moon
row 5 : 5 | सिंह | Siṃha | lion | Leo | Λέων | lion | Tejas (Fire) | Sthira (Fixed) | Sun
row 6 : 6 | कन्या | Kanyā | girl | Virgo | Παρθένος | virgin | Prithivi (Earth) | Dvisvabhava (Dual) | Mercury
row 7 : 7 | तुला | Tulā | balance | Libra | Ζυγός | balance | Vayu (Air) | Cara (Movable) | Venus
row 8 : 8 | वृश्चिक | Vṛścika | scorpion | Scorpio | Σκoρπιός | scorpion | Jala (Water) | Sthira (Fixed) | Mars
row 9 : 9 | धनुष | Dhanus | bow | Sagittarius | Τοξότης | archer | Tejas (Fire) | Dvisvabhava (Dual) | Jupiter
row 10 : 10 | मकर | Makara | sea-monster | Capricorn | Αἰγόκερως | goat-horned | Prithivi (Earth) | Cara (Movable) | Saturn
row 11 : 11 | कुम्भ | Kumbha | pitcher | Aquarius | Ὑδροχόος | water-pourer | Vayu (Air) | Sthira (Fixed) | Saturn
row 12 : 12 | मीन | Mīna | fish | Pisces | Ἰχθεῖς | fishes | Jala (Water) | Dvisvabhava (Dual) | Jupiter [/Table] Answer this question based on the above table: What is the Sanskrit for the Greek word λέων?

Answer: सिंह
[Table] header: Tie no | Home team | Score | Away team | Date row 1 : 1 | Middlesbrough | 2–0 | Bolton Wanderers | 27 February 1978
row 2 : 2 | Derby County | 2–3 | West Bromwich Albion | 22 February 1978
row 3 : 3 | Wrexham | 1–1 | Blyth Spartans | 18 February 1978
row 4 : Replay | Blyth Spartans | 1–2 | Wrexham | 27 February 1978
row 5 : 4 | Queens Park Rangers | 1–1 | Nottingham Forest | 18 February 1978
row 6 : Replay | Nottingham Forest | 1–1 | Queens Park Rangers | 27 February 1978
row 7 : Replay | Nottingham Forest | 3–1 | Queens Park Rangers | 2 March 1978
row 8 : 5 | Bristol Rovers | 2–2 | Ipswich Town | 18 February 1978
row 9 : Replay | Ipswich Town | 3–0 | Bristol Rovers | 28 February 1978
row 10 : 6 | Millwall | 2–1 | Notts County | 18 February 1978
row 11 : 7 | Arsenal | 4–1 | Walsall | 18 February 1978
row 12 : 8 | Orient | 0–0 | Chelsea | 18 February 1978
row 13 : Replay | Chelsea | 1–2 | Orient | 27 February 1978 [/Table] Answer this question based on the above table: What date has wrexham as the home team?

Answer: 18 February 1978
[Table] header: Tie no | Home team | Score | Away team | Date row 1 : 1 | Middlesbrough | 2–0 | Bolton Wanderers | 27 February 1978
row 2 : 2 | Derby County | 2–3 | West Bromwich Albion | 22 February 1978
row 3 : 3 | Wrexham | 1–1 | Blyth Spartans | 18 February 1978
row 4 : Replay | Blyth Spartans | 1–2 | Wrexham | 27 February 1978
row 5 : 4 | Queens Park Rangers | 1–1 | Nottingham Forest | 18 February 1978
row 6 : Replay | Nottingham Forest | 1–1 | Queens Park Rangers | 27 February 1978
row 7 : Replay | Nottingham Forest | 3–1 | Queens Park Rangers | 2 March 1978
row 8 : 5 | Bristol Rovers | 2–2 | Ipswich Town | 18 February 1978
row 9 : Replay | Ipswich Town | 3–0 | Bristol Rovers | 28 February 1978
row 10 : 6 | Millwall | 2–1 | Notts County | 18 February 1978
row 11 : 7 | Arsenal | 4–1 | Walsall | 18 February 1978
row 12 : 8 | Orient | 0–0 | Chelsea | 18 February 1978
row 13 : Replay | Chelsea | 1–2 | Orient | 27 February 1978 [/Table] Answer this question based on the above table: What away team has 7 as the tie no.?

Answer: Walsall
[Table] header: Tie no | Home team | Score | Away team | Date row 1 : 1 | Middlesbrough | 2–0 | Bolton Wanderers | 27 February 1978
row 2 : 2 | Derby County | 2–3 | West Bromwich Albion | 22 February 1978
row 3 : 3 | Wrexham | 1–1 | Blyth Spartans | 18 February 1978
row 4 : Replay | Blyth Spartans | 1–2 | Wrexham | 27 February 1978
row 5 : 4 | Queens Park Rangers | 1–1 | Nottingham Forest | 18 February 1978
row 6 : Replay | Nottingham Forest | 1–1 | Queens Park Rangers | 27 February 1978
row 7 : Replay | Nottingham Forest | 3–1 | Queens Park Rangers | 2 March 1978
row 8 : 5 | Bristol Rovers | 2–2 | Ipswich Town | 18 February 1978
row 9 : Replay | Ipswich Town | 3–0 | Bristol Rovers | 28 February 1978
row 10 : 6 | Millwall | 2–1 | Notts County | 18 February 1978
row 11 : 7 | Arsenal | 4–1 | Walsall | 18 February 1978
row 12 : 8 | Orient | 0–0 | Chelsea | 18 February 1978
row 13 : Replay | Chelsea | 1–2 | Orient | 27 February 1978 [/Table] Answer this question based on the above table: What away team has wrexham as the home team?

Answer: Blyth Spartans
[Table] header: Tie no | Home team | Score | Away team | Date row 1 : 1 | Middlesbrough | 2–0 | Bolton Wanderers | 27 February 1978
row 2 : 2 | Derby County | 2–3 | West Bromwich Albion | 22 February 1978
row 3 : 3 | Wrexham | 1–1 | Blyth Spartans | 18 February 1978
row 4 : Replay | Blyth Spartans | 1–2 | Wrexham | 27 February 1978
row 5 : 4 | Queens Park Rangers | 1–1 | Nottingham Forest | 18 February 1978
row 6 : Replay | Nottingham Forest | 1–1 | Queens Park Rangers | 27 February 1978
row 7 : Replay | Nottingham Forest | 3–1 | Queens Park Rangers | 2 March 1978
row 8 : 5 | Bristol Rovers | 2–2 | Ipswich Town | 18 February 1978
row 9 : Replay | Ipswich Town | 3–0 | Bristol Rovers | 28 February 1978
row 10 : 6 | Millwall | 2–1 | Notts County | 18 February 1978
row 11 : 7 | Arsenal | 4–1 | Walsall | 18 February 1978
row 12 : 8 | Orient | 0–0 | Chelsea | 18 February 1978
row 13 : Replay | Chelsea | 1–2 | Orient | 27 February 1978 [/Table] Answer this question based on the above table: What home team has 6 as the tie no.?

Answer: Millwall
[Table] header: Week | Date | Opponent | Result | Kickoff Time | Attendance row 1 : 1 | September 7, 2003 | St. Louis Rams | W 23–13 | FOX 1:00pm | 78,666
row 2 : 2 | September 15, 2003 | Dallas Cowboys | L 35–32 (OT) | ABC 9:00pm | 78,907
row 3 : 3 | September 21, 2003 | at Washington Redskins | W 24–21 | FOX 4:00pm | 84,856
row 4 : 4 | Bye | Bye | Bye | Bye | Bye
row 5 : 5 | October 5, 2003 | Miami Dolphins | L 23–10 | CBS 1:00pm | 78,863
row 6 : 6 | October 12, 2003 | at New England Patriots | L 17–6 | FOX 1:00pm | 68,436
row 7 : 7 | October 19, 2003 | Philadelphia Eagles | L 14–10 | FOX 1:00pm | 78,883
row 8 : 8 | October 26, 2003 | at Minnesota Vikings | W 29–17 | FOX 1:00pm | 64,114
row 9 : 9 | November 2, 2003 | at New York Jets | W 31–28 (OT) | FOX 1:00pm | 78,132
row 10 : 10 | November 9, 2003 | Atlanta Falcons | L 27–7 | FOX 1:00pm | 78,813
row 11 : 11 | November 16, 2003 | at Philadelphia Eagles | L 28–10 | FOX 1:00pm | 67,867
row 12 : 12 | November 24, 2003 | at Tampa Bay Buccaneers | L 19–13 | ABC 9:00pm | 65,648
row 13 : 13 | November 30, 2003 | Buffalo Bills | L 24–7 | CBS 1:00pm | 78,481
row 14 : 14 | December 7, 2003 | Washington Redskins | L 20–7 | FOX 1:00pm | 78,217
row 15 : 15 | December 14, 2003 | at New Orleans Saints | L 45–7 | ESPN 8:30pm | 68,399
row 16 : 16 | December 21, 2003 | at Dallas Cowboys | L 19–3 | FOX 1:00pm | 64,118
row 17 : 17 | December 28, 2003 | Carolina Panthers | L 37–24 | FOX 4:00pm | 78,130 [/Table] Answer this question based on the above table: What was the kickoff time for the December 14, 2003 game?

Answer: ESPN 8:30pm
[Table] header: Rank | Lane | Name | Nationality | Time row 1 : 1 | 4 | Kirsty Coventry | Zimbabwe | 2:07.76
row 2 : 2 | 5 | Meagen Nay | Australia | 2:08.09
row 3 : 3 | 6 | Margaret Hoelzer | United States | 2:08.25
row 4 : 4 | 7 | Belinda Hocking | Australia | 2:08.80
row 5 : 5 | 3 | Anastasia Zuyeva | Russia | 2:09.07
row 6 : 6 | 2 | Alexianne Castel | France | 2:10.04
row 7 : 7 | 1 | Stanislava Komarova | Russia | 2:10.50
row 8 : 8 | 8 | Anja Čarman | Slovenia | 2:12.46 [/Table] Answer this question based on the above table: What is Zimbabwe's rank?

Answer: 1.0
[Table] header: Rank | Lane | Name | Nationality | Time row 1 : 1 | 4 | Kirsty Coventry | Zimbabwe | 2:07.76
row 2 : 2 | 5 | Meagen Nay | Australia | 2:08.09
row 3 : 3 | 6 | Margaret Hoelzer | United States | 2:08.25
row 4 : 4 | 7 | Belinda Hocking | Australia | 2:08.80
row 5 : 5 | 3 | Anastasia Zuyeva | Russia | 2:09.07
row 6 : 6 | 2 | Alexianne Castel | France | 2:10.04
row 7 : 7 | 1 | Stanislava Komarova | Russia | 2:10.50
row 8 : 8 | 8 | Anja Čarman | Slovenia | 2:12.46 [/Table] Answer this question based on the above table: What is Meagen Nay's rank with a lane greater than 5?

Answer: none
[Table] header: Rank | Team | Men's | Women's | Total row 1 : 1 | UST Growling Tigers | 165 | 140 | 305
row 2 : 2 | De La Salle Green Archers | 113 | 139 | 252
row 3 : 3 | FEU Tamaraws | 109 | 120 | 229
row 4 : 4 | Ateneo Blue Eagles | 113 | 109 | 222
row 5 : 5 | UP Fighting Maroons | 109 | 110 | 219
row 6 : 6 | UE Red Warriors | 106 | 75 | 181
row 7 : 7 | Adamson Falcons | 39 | 62 | 101
row 8 : 8 | NU Bulldogs | 25 | 19 | 44 [/Table] Answer this question based on the above table: How many times is the team nu bulldogs and the women's is less than 19?

Answer: 0.0
[Table] header: Rank | Team | Men's | Women's | Total row 1 : 1 | UST Growling Tigers | 165 | 140 | 305
row 2 : 2 | De La Salle Green Archers | 113 | 139 | 252
row 3 : 3 | FEU Tamaraws | 109 | 120 | 229
row 4 : 4 | Ateneo Blue Eagles | 113 | 109 | 222
row 5 : 5 | UP Fighting Maroons | 109 | 110 | 219
row 6 : 6 | UE Red Warriors | 106 | 75 | 181
row 7 : 7 | Adamson Falcons | 39 | 62 | 101
row 8 : 8 | NU Bulldogs | 25 | 19 | 44 [/Table] Answer this question based on the above table: what is the average women's when men's is less than 113, the team is ue red warriors and the rank is higher than 6?

Answer: none
[Table] header: Rank | Team | Men's | Women's | Total row 1 : 1 | UST Growling Tigers | 165 | 140 | 305
row 2 : 2 | De La Salle Green Archers | 113 | 139 | 252
row 3 : 3 | FEU Tamaraws | 109 | 120 | 229
row 4 : 4 | Ateneo Blue Eagles | 113 | 109 | 222
row 5 : 5 | UP Fighting Maroons | 109 | 110 | 219
row 6 : 6 | UE Red Warriors | 106 | 75 | 181
row 7 : 7 | Adamson Falcons | 39 | 62 | 101
row 8 : 8 | NU Bulldogs | 25 | 19 | 44 [/Table] Answer this question based on the above table: what is the least rank when the total is less than 219 and women's is less than 19?

Answer: none
[Table] header: Rank | Player | County | Tally | Total | Opposition row 1 : 1 | Pat Fox | Tipperary | 1-10 | 13 | Kerry
row 2 : 1 | John Fenton | Cork | 0-13 | 13 | Tipperary
row 3 : 3 | John Fenton | Cork | 0-12 | 12 | Tipperary
row 4 : 4 | Christy Heffernan | Kilkenny | 2-5 | 11 | Westmeath
row 5 : 4 | Harry Ryan | Kilkenny | 2-5 | 11 | Antrim
row 6 : 4 | John Fenton | Cork | 1-8 | 11 | Limerick
row 7 : 4 | Pat Fox | Tipperary | 0-11 | 11 | Cork
row 8 : 8 | Nicky English | Tipperary | 2-4 | 10 | Clare
row 9 : 8 | Paddy Kelly | Limerick | 0-10 | 10 | Waterford
row 10 : 10 | Ger Fennelly | Kilkenny | 0-9 | 9 | Offaly
row 11 : 10 | Pat Fox | Tipperary | 0-9 | 9 | Cork
row 12 : 10 | John Houlihan | Wexford | 0-9 | 9 | Kilkenny [/Table] Answer this question based on the above table: Which Player has a Total of 9, and an Opposition of offaly?

Answer: Ger Fennelly
[Table] header: Rank | Player | County | Tally | Total | Opposition row 1 : 1 | Pat Fox | Tipperary | 1-10 | 13 | Kerry
row 2 : 1 | John Fenton | Cork | 0-13 | 13 | Tipperary
row 3 : 3 | John Fenton | Cork | 0-12 | 12 | Tipperary
row 4 : 4 | Christy Heffernan | Kilkenny | 2-5 | 11 | Westmeath
row 5 : 4 | Harry Ryan | Kilkenny | 2-5 | 11 | Antrim
row 6 : 4 | John Fenton | Cork | 1-8 | 11 | Limerick
row 7 : 4 | Pat Fox | Tipperary | 0-11 | 11 | Cork
row 8 : 8 | Nicky English | Tipperary | 2-4 | 10 | Clare
row 9 : 8 | Paddy Kelly | Limerick | 0-10 | 10 | Waterford
row 10 : 10 | Ger Fennelly | Kilkenny | 0-9 | 9 | Offaly
row 11 : 10 | Pat Fox | Tipperary | 0-9 | 9 | Cork
row 12 : 10 | John Houlihan | Wexford | 0-9 | 9 | Kilkenny [/Table] Answer this question based on the above table: Which County has an Opposition of offaly?

Answer: Kilkenny
[Table] header: Rank | Player | County | Tally | Total | Opposition row 1 : 1 | Pat Fox | Tipperary | 1-10 | 13 | Kerry
row 2 : 1 | John Fenton | Cork | 0-13 | 13 | Tipperary
row 3 : 3 | John Fenton | Cork | 0-12 | 12 | Tipperary
row 4 : 4 | Christy Heffernan | Kilkenny | 2-5 | 11 | Westmeath
row 5 : 4 | Harry Ryan | Kilkenny | 2-5 | 11 | Antrim
row 6 : 4 | John Fenton | Cork | 1-8 | 11 | Limerick
row 7 : 4 | Pat Fox | Tipperary | 0-11 | 11 | Cork
row 8 : 8 | Nicky English | Tipperary | 2-4 | 10 | Clare
row 9 : 8 | Paddy Kelly | Limerick | 0-10 | 10 | Waterford
row 10 : 10 | Ger Fennelly | Kilkenny | 0-9 | 9 | Offaly
row 11 : 10 | Pat Fox | Tipperary | 0-9 | 9 | Cork
row 12 : 10 | John Houlihan | Wexford | 0-9 | 9 | Kilkenny [/Table] Answer this question based on the above table: Which Player has a Total smaller than 11, and a Tally of 0-9?

Answer: Ger Fennelly, Pat Fox, John Houlihan
[Table] header: Place | Player | Country | Score | To par row 1 : 1 | Mike Weir | Canada | 64 | –6
row 2 : 2 | Peter Hanson | Sweden | 66 | –4
row 3 : T3 | Ricky Barnes | United States | 67 | –3
row 4 : T3 | David Duval | United States | 67 | –3
row 5 : T3 | Todd Hamilton | United States | 67 | –3
row 6 : 6 | Rocco Mediate | United States | 68 | –2
row 7 : T7 | Lucas Glover | United States | 69 | –1
row 8 : T7 | Sean O'Hair | United States | 69 | –1
row 9 : T7 | Graeme McDowell | Northern Ireland | 69 | –1
row 10 : T7 | Phil Mickelson | United States | 69 | –1
row 11 : T7 | Adam Scott | Australia | 69 | –1
row 12 : T7 | David Toms | United States | 69 | –1
row 13 : T7 | Drew Weaver (a) | United States | 69 | –1 [/Table] Answer this question based on the above table: What country has todd hamilton as the player?

Answer: United States
[Table] header: Place | Player | Country | Score | To par row 1 : 1 | Mike Weir | Canada | 64 | –6
row 2 : 2 | Peter Hanson | Sweden | 66 | –4
row 3 : T3 | Ricky Barnes | United States | 67 | –3
row 4 : T3 | David Duval | United States | 67 | –3
row 5 : T3 | Todd Hamilton | United States | 67 | –3
row 6 : 6 | Rocco Mediate | United States | 68 | –2
row 7 : T7 | Lucas Glover | United States | 69 | –1
row 8 : T7 | Sean O'Hair | United States | 69 | –1
row 9 : T7 | Graeme McDowell | Northern Ireland | 69 | –1
row 10 : T7 | Phil Mickelson | United States | 69 | –1
row 11 : T7 | Adam Scott | Australia | 69 | –1
row 12 : T7 | David Toms | United States | 69 | –1
row 13 : T7 | Drew Weaver (a) | United States | 69 | –1 [/Table] Answer this question based on the above table: What country has david toms as the player?

Answer: United States
[Table] header: Date | Course | Distance | Type | Winner row 1 : 7 May | Reggio Calabria | km (mi) | Individual time trial | Brett Lancaster ( AUS )
row 2 : 8 May | Reggio Calabria to Tropea | km (mi) | Flat stage | Paolo Bettini ( ITA )
row 3 : 9 May | Catanzaro Lido to Santa Maria | km (mi) | Flat stage | Robbie McEwen ( AUS 
row 4 : 10 May | Diamante to Giffoni Valle | km (mi) | Flat stage | Danilo Di Luca ( ITA
row 5 : 11 May | Giffoni Valle Piana to F | km (mi) | Flat stage | Luca Mazzanti ( ITA 
row 6 : 12 May | Celano to L'Aquila | km (mi) | Medium mountain stage | Danilo Di Luca ( ITA
row 7 : 13 May | Viterbo to Marina di Grosseto | km (mi) | Flat stage | Robbie McEwen ( AUS 
row 8 : 14 May | Grosseto to Pistoia | km (mi) | Medium mountain stage | Koldo Gil ( ESP )
row 9 : 15 May | Lamporecchio to Florence | km (mi) | Individual time trial | David Zabriskie ( USA )
row 10 : 16 May | Florence to Ravenna | km (mi) | Flat stage | Alessandro Petacchi ( 
row 11 : 17 May | Rest day | Rest day | Rest day | Rest day
row 12 : 18 May | Ravenna to Rossano Veneto | km (mi) | Flat stage | Robbie McEwen ( AUS 
row 13 : 19 May | Marostica to Zoldo Alto | km (mi) | Mountain stage | Paolo Savoldelli ( ITA 
row 14 : 20 May | Alleghe to Rovereto | km (mi) | Medium mountain stage | Alessandro Petacchi ( 
row 15 : 21 May | Mezzocorona to Urtij | km (mi) | Mountain stage | Iván Parra ( COL )
row 16 : 22 May | Neumarkt to Livigno | km (mi) | Mountain stage | Iván Parra ( COL )
row 17 : 23 May | Villa di Tirano to Lissone | km (mi) | Flat stage | Alessandro Petacchi ( 
row 18 : 24 May | Rest day | Rest day | Rest day | Rest day
row 19 : 25 May | Lissone to Varazze | km (mi) | Flat stage | Christophe Le Mével ( FRA )
row 20 : 26 May | Varazze to Limone Piemonte | km (mi) | Mountain stage | Ivan Basso ( ITA )
row 21 : 27 May | Chieri to Turin | km (mi) | Individual time trial | Ivan Basso ( ITA )
row 22 : 28 May | Savigliano to Sestriere | km (mi) | Mountain stage | José Rujano ( VEN )
row 23 : 29 May | Albese con Cassano | km (mi) | Flat stage | Alessandro Petacchi ( 
row 24 : Total | Total | km (mi) | km (mi) | km (mi) [/Table] Answer this question based on the above table: Which date was a rest day?

Answer: 17 May, 24 May
[Table] header: Season | Rounds | Champion | Most tries | Player of the Year row 1 : 1999–00 | 10 | New Zealand (186 points) | Vilimoni Delasau (83) | No Award
row 2 : 2000–01 | 9 | New Zealand (162 points) | Karl Te Nana (42) | No Award
row 3 : 2001–02 | 11 | New Zealand (198 points) | Brent Russell (46) | No Award
row 4 : 2002–03 | 7 | New Zealand (112 points) | Nasoni Roko (39) | No Award
row 5 : 2003–04 | 8 | New Zealand (128 points) | Fabian Juries & Rob Thirlby | Simon Amor
row 6 : 2004–05 | 7 | New Zealand (116 points) | David Lemi (46) | Orene Ai'i
row 7 : 2005–06 | 8 | [[|]] (144 points) | Timoteo Iosua ( | Uale Mai
row 8 : 2006–07 | 8 | New Zealand (130 points) | Mikaele Pesamino (43) | Afeleke Pelenise
row 9 : 2007–08 | 8 | New Zealand (154 points) | Fabian Juries (41) | DJ Forbes
row 10 : 2008–09 | 8 | [[|]] (132 points) | Collins Injera (42) | Ollie Phillips
row 11 : 2009–10 | 8 | Samoa (164 points) | Mikaele Pesamino (56) | Mikaele Pesamino
row 12 : 2010–11 | 8 | New Zealand (166 points) | Cecil Afrika (40) | Cecil Afrika
row 13 : 2011–12 | 9 | New Zealand (167 points) | Matt Turner (38) | Tomasi Cama Jr.
row 14 : 2012–13 | 9 | New Zealand (173 points) | Dan Norton (52) | Tim Mikkelson [/Table] Answer this question based on the above table: What are the rounds for champion New Zealand (130 points)?

Answer: 8.0
[Table] header: Season | Rounds | Champion | Most tries | Player of the Year row 1 : 1999–00 | 10 | New Zealand (186 points) | Vilimoni Delasau (83) | No Award
row 2 : 2000–01 | 9 | New Zealand (162 points) | Karl Te Nana (42) | No Award
row 3 : 2001–02 | 11 | New Zealand (198 points) | Brent Russell (46) | No Award
row 4 : 2002–03 | 7 | New Zealand (112 points) | Nasoni Roko (39) | No Award
row 5 : 2003–04 | 8 | New Zealand (128 points) | Fabian Juries & Rob Thirlby | Simon Amor
row 6 : 2004–05 | 7 | New Zealand (116 points) | David Lemi (46) | Orene Ai'i
row 7 : 2005–06 | 8 | [[|]] (144 points) | Timoteo Iosua ( | Uale Mai
row 8 : 2006–07 | 8 | New Zealand (130 points) | Mikaele Pesamino (43) | Afeleke Pelenise
row 9 : 2007–08 | 8 | New Zealand (154 points) | Fabian Juries (41) | DJ Forbes
row 10 : 2008–09 | 8 | [[|]] (132 points) | Collins Injera (42) | Ollie Phillips
row 11 : 2009–10 | 8 | Samoa (164 points) | Mikaele Pesamino (56) | Mikaele Pesamino
row 12 : 2010–11 | 8 | New Zealand (166 points) | Cecil Afrika (40) | Cecil Afrika
row 13 : 2011–12 | 9 | New Zealand (167 points) | Matt Turner (38) | Tomasi Cama Jr.
row 14 : 2012–13 | 9 | New Zealand (173 points) | Dan Norton (52) | Tim Mikkelson [/Table] Answer this question based on the above table: For which season is Tim Mikkelson player of the year?

Answer: 2012–13
[Table] header: Name | Platform | Indication | Status | Collaboration row 1 : TRU-015 | SMIP | Rheumatoid arthritis | Phase 2b | Wyeth
row 2 : SBI-087 | SMIP | Rheumatoid arthritis | Phase 1 | Wyeth
row 3 : SBI-087 | SMIP | Systemic lupus erythemat | Phase 1 | Wyeth
row 4 : TRU-016 | SMIP | Chronic lymphocytic leukemia | Phase 1/2 | Trubion Proprietary Technology
row 5 : TRU-016 | SMIP | Non-Hodgkin lymphoma | Pre-clinical | Trubion Proprietary Technology
row 6 : TRU-016 | SMIP | Autoimmune disease and inflammation | Pre-clinical | Trubion Proprietary Technology [/Table] Answer this question based on the above table: What company collaborated in SBI-087 for rheumatoid arthritis?

Answer: Wyeth
[Table] header: Name | Platform | Indication | Status | Collaboration row 1 : TRU-015 | SMIP | Rheumatoid arthritis | Phase 2b | Wyeth
row 2 : SBI-087 | SMIP | Rheumatoid arthritis | Phase 1 | Wyeth
row 3 : SBI-087 | SMIP | Systemic lupus erythemat | Phase 1 | Wyeth
row 4 : TRU-016 | SMIP | Chronic lymphocytic leukemia | Phase 1/2 | Trubion Proprietary Technology
row 5 : TRU-016 | SMIP | Non-Hodgkin lymphoma | Pre-clinical | Trubion Proprietary Technology
row 6 : TRU-016 | SMIP | Autoimmune disease and inflammation | Pre-clinical | Trubion Proprietary Technology [/Table] Answer this question based on the above table: What company collaborated in non-hodgkin lymphoma?

Answer: Trubion Proprietary Technology
[Table] header: Name | Platform | Indication | Status | Collaboration row 1 : TRU-015 | SMIP | Rheumatoid arthritis | Phase 2b | Wyeth
row 2 : SBI-087 | SMIP | Rheumatoid arthritis | Phase 1 | Wyeth
row 3 : SBI-087 | SMIP | Systemic lupus erythemat | Phase 1 | Wyeth
row 4 : TRU-016 | SMIP | Chronic lymphocytic leukemia | Phase 1/2 | Trubion Proprietary Technology
row 5 : TRU-016 | SMIP | Non-Hodgkin lymphoma | Pre-clinical | Trubion Proprietary Technology
row 6 : TRU-016 | SMIP | Autoimmune disease and inflammation | Pre-clinical | Trubion Proprietary Technology [/Table] Answer this question based on the above table: What company collaborated in pre-clinical autoimmune disease and inflammation?

Answer: Trubion Proprietary Technology
[Table] header: Name | Platform | Indication | Status | Collaboration row 1 : TRU-015 | SMIP | Rheumatoid arthritis | Phase 2b | Wyeth
row 2 : SBI-087 | SMIP | Rheumatoid arthritis | Phase 1 | Wyeth
row 3 : SBI-087 | SMIP | Systemic lupus erythemat | Phase 1 | Wyeth
row 4 : TRU-016 | SMIP | Chronic lymphocytic leukemia | Phase 1/2 | Trubion Proprietary Technology
row 5 : TRU-016 | SMIP | Non-Hodgkin lymphoma | Pre-clinical | Trubion Proprietary Technology
row 6 : TRU-016 | SMIP | Autoimmune disease and inflammation | Pre-clinical | Trubion Proprietary Technology [/Table] Answer this question based on the above table: Which study included autoimmune disease and inflammation?

Answer: TRU-016
[Table] header: Name | Platform | Indication | Status | Collaboration row 1 : TRU-015 | SMIP | Rheumatoid arthritis | Phase 2b | Wyeth
row 2 : SBI-087 | SMIP | Rheumatoid arthritis | Phase 1 | Wyeth
row 3 : SBI-087 | SMIP | Systemic lupus erythemat | Phase 1 | Wyeth
row 4 : TRU-016 | SMIP | Chronic lymphocytic leukemia | Phase 1/2 | Trubion Proprietary Technology
row 5 : TRU-016 | SMIP | Non-Hodgkin lymphoma | Pre-clinical | Trubion Proprietary Technology
row 6 : TRU-016 | SMIP | Autoimmune disease and inflammation | Pre-clinical | Trubion Proprietary Technology [/Table] Answer this question based on the above table: What did the phase 2b status target?

Answer: Rheumatoid arthritis
[Table] header: Name | Platform | Indication | Status | Collaboration row 1 : TRU-015 | SMIP | Rheumatoid arthritis | Phase 2b | Wyeth
row 2 : SBI-087 | SMIP | Rheumatoid arthritis | Phase 1 | Wyeth
row 3 : SBI-087 | SMIP | Systemic lupus erythemat | Phase 1 | Wyeth
row 4 : TRU-016 | SMIP | Chronic lymphocytic leukemia | Phase 1/2 | Trubion Proprietary Technology
row 5 : TRU-016 | SMIP | Non-Hodgkin lymphoma | Pre-clinical | Trubion Proprietary Technology
row 6 : TRU-016 | SMIP | Autoimmune disease and inflammation | Pre-clinical | Trubion Proprietary Technology [/Table] Answer this question based on the above table: What company collaborated with non-hodgkin lymphoma?

Answer: Trubion Proprietary Technology
[Table] header: Class to 1928 | Class from 1928 | Seats | Quantity | Year(s) of Manufacture row 1 : Di-26 | Cid-26 | 66 | 77 | 1927/28
row 2 : Di-27 | Cid-27; Ciu-27/ | 66 | 440 | 1927/28
row 3 : BCi-28 | BCi-28 | 15/34 | 449 | 1928/29
row 4 : Ci-28 | Ci-28 | 58 | 1744 | 1928/29
row 5 : CDi-28 | CCid-28; CCi | 29/29 | 40 | 1928
row 6 : Bi-29 | Bi-29 | 38 | 1632 | 1929/30
row 7 : BCi-29 | BCi-29 | 15/34 | 500 | 1929/30
row 8 : Ci-29 | Ci-29 | 58 | 450 | 1929/30
row 9 : Ci-30 | Ci-30 | 58 | 194 | 1929/30 [/Table] Answer this question based on the above table: What's the sum of Quantity for the Class of 1928 of CI-30?

Answer: 194.0
[Table] header: Class to 1928 | Class from 1928 | Seats | Quantity | Year(s) of Manufacture row 1 : Di-26 | Cid-26 | 66 | 77 | 1927/28
row 2 : Di-27 | Cid-27; Ciu-27/ | 66 | 440 | 1927/28
row 3 : BCi-28 | BCi-28 | 15/34 | 449 | 1928/29
row 4 : Ci-28 | Ci-28 | 58 | 1744 | 1928/29
row 5 : CDi-28 | CCid-28; CCi | 29/29 | 40 | 1928
row 6 : Bi-29 | Bi-29 | 38 | 1632 | 1929/30
row 7 : BCi-29 | BCi-29 | 15/34 | 500 | 1929/30
row 8 : Ci-29 | Ci-29 | 58 | 450 | 1929/30
row 9 : Ci-30 | Ci-30 | 58 | 194 | 1929/30 [/Table] Answer this question based on the above table: What Class to 1928 has the Quantity smaller than 440 and Seats of 29/29?

Answer: CDi-28
[Table] header: Parameter | Symbol | Best fit (WMAP only) | Best fit (WMAP, extra parameter) | Best fit (all data) row 1 : Age of the universe ( Ga ) | t_0 | .4 ± .3 | – | .7 ± .2
row 2 : Hubble's constant ( km⁄ Mp | H_0 | ± | ± | + −
row 3 : ic Baryon content | \Omega_b h^ | .024 ± .001 | .023 ± .002 | .0224 ± .0009
row 4 : Matter content | \Omega_m h^ | .14 ± .02 | .14 ± .02 | .135 +.008 −.00
row 5 : Optical depth to reionization | \tau | .166 +.076 −. | .20 ± .07 | .17 ± .06
row 6 : Amplitude | A | .9 ± .1 | .92 ± .12 | .83 +.09 −.08
row 7 : Scalar spectral index | n_s | .99 ± .04 | .93 +.07 −.07 | .93 ± .03
row 8 : Running of spectral index | dn_s / dk | — | −.047 ± .04 | −.031 +.016 
row 9 : Fluctuation amplitude at 8 | \sigma_8 | .9 ± .1 | — | .84 ± .04
row 10 : Total density of the universe | \Omega_{tot} | – | – | .02 ± .02 [/Table] Answer this question based on the above table: What is the best fit (all data) when the parameter shows fluctuation amplitude at 8h −1 mpc?

Answer: none
[Table] header: Parameter | Symbol | Best fit (WMAP only) | Best fit (WMAP, extra parameter) | Best fit (all data) row 1 : Age of the universe ( Ga ) | t_0 | .4 ± .3 | – | .7 ± .2
row 2 : Hubble's constant ( km⁄ Mp | H_0 | ± | ± | + −
row 3 : ic Baryon content | \Omega_b h^ | .024 ± .001 | .023 ± .002 | .0224 ± .0009
row 4 : Matter content | \Omega_m h^ | .14 ± .02 | .14 ± .02 | .135 +.008 −.00
row 5 : Optical depth to reionization | \tau | .166 +.076 −. | .20 ± .07 | .17 ± .06
row 6 : Amplitude | A | .9 ± .1 | .92 ± .12 | .83 +.09 −.08
row 7 : Scalar spectral index | n_s | .99 ± .04 | .93 +.07 −.07 | .93 ± .03
row 8 : Running of spectral index | dn_s / dk | — | −.047 ± .04 | −.031 +.016 
row 9 : Fluctuation amplitude at 8 | \sigma_8 | .9 ± .1 | — | .84 ± .04
row 10 : Total density of the universe | \Omega_{tot} | – | – | .02 ± .02 [/Table] Answer this question based on the above table: What is the symbol when the best fit (WMAP, extra parameter) of –, and a Best fit (WMAP only) is .4 ± .3?

Answer: t_0
[Table] header: Parameter | Symbol | Best fit (WMAP only) | Best fit (WMAP, extra parameter) | Best fit (all data) row 1 : Age of the universe ( Ga ) | t_0 | .4 ± .3 | – | .7 ± .2
row 2 : Hubble's constant ( km⁄ Mp | H_0 | ± | ± | + −
row 3 : ic Baryon content | \Omega_b h^ | .024 ± .001 | .023 ± .002 | .0224 ± .0009
row 4 : Matter content | \Omega_m h^ | .14 ± .02 | .14 ± .02 | .135 +.008 −.00
row 5 : Optical depth to reionization | \tau | .166 +.076 −. | .20 ± .07 | .17 ± .06
row 6 : Amplitude | A | .9 ± .1 | .92 ± .12 | .83 +.09 −.08
row 7 : Scalar spectral index | n_s | .99 ± .04 | .93 +.07 −.07 | .93 ± .03
row 8 : Running of spectral index | dn_s / dk | — | −.047 ± .04 | −.031 +.016 
row 9 : Fluctuation amplitude at 8 | \sigma_8 | .9 ± .1 | — | .84 ± .04
row 10 : Total density of the universe | \Omega_{tot} | – | – | .02 ± .02 [/Table] Answer this question based on the above table: What is the best fit (WMAP, extra parameter)when the best fit (all data) is .0224 ± .0009?

Answer: .023 ± .002