Give you a statement and table with its title in Markdown format, please determine whether the statement is supported or refuted by, or is unrelated to the table. It'a binary classification problem, you should choose the answer between supported and refuted. Table cells in one row are seperated by '|', and different rows are seperated by '
'.

Table:
| state | abbreviation | capital | area (km square) | population (2005) | density (2005) | gdp (% total) (2004) | gdp per capita (us) (2004) | hdi (2005) | literacy (2003) | infant mortality (2002) | life expectancy (2004) |
| acre | ac | rio branco | 152581.4 | 707125 | 4.3 | 3242123 (0.2%) | 5143 | 0.7509999999999999 | 84% | 29.8‰ | 71.7 |
| alagoas | al | maceió | 27767.7 | 3093994 | 108.61 | 11556013 (0.7%) | 3877 | 0.677 | 70% | 48.2‰ | 66.0 |
| amapá | ap | macapá | 142814.6 | 648553 | 4.16 | 3720013 (0.2%) | 6796 | 0.78 | 91% | 22.5‰ | 69.8 |
| amazonas | am | manaus | 1570745.7 | 3393369 | 2.05 | 35889111 (2.1%) | 11434 | 0.78 | 94% | 24.3‰ | 73.4 |
| bahia | ba | salvador | 564692.7 | 14637364 | 24.46 | 86882488 (4.9%) | 6350 | 0.742 | 79% | 31.4‰ | 71.4 |
| ceará | ce | fortaleza | 148825.6 | 8547809 | 54.4 | 33261175 (1.9%) | 4170 | 0.723 | 78% | 27.6‰ | 69.6 |
| distrito federal | df | brasília | 5822.1 | 2606885 | 400.73 | 43522926 (2.5%) | 19071 | 0.8740000000000001 | 96% | 15.8‰ | 74.9 |
| espírito santo | es | vitória | 46077.5 | 3487199 | 73.97 | 34488268 (2.0%) | 10289 | 0.802 | 90% | 17.7‰ | 73.1 |
| goiás | go | goinia | 340086.7 | 5926300 | 16.52 | 41316658 (2.3%) | 7501 | 0.8 | 90% | 18.3‰ | 72.8 |
| maranhão | ma | são luís | 331983.3 | 6103327 | 18.38 | 16547977 (0.9%) | 2748 | 0.6829999999999999 | 77% | 36.5‰ | 66.8 |
| mato grosso | mt | cuiabá | 903357.9 | 2803274 | 3.1 | 27935132 (1.6%) | 10162 | 0.7959999999999999 | 90% | 19.2‰ | 72.6 |
| mato grosso do sul | ms | campo grande | 357125.0 | 2264468 | 6.34 | 19954505 (1.1%) | 8945 | 0.802 | 91% | 16.9‰ | 73.2 |
| minas gerais | mg | belo horizonte | 586528.3 | 19237450 | 32.79 | 166564882 (9.4%) | 8771 | 0.8 | 89% | 19.1‰ | 74.1 |
| pará | pa | belém | 1247689.5 | 6970586 | 5.58 | 34196694 (1.9%) | 4992 | 0.755 | 90% | 23.0‰ | 71.4 |
| paraíba | pb | joão pessoa | 56439.8 | 3595886 | 63.71 | 14863913 (0.9%) | 4165 | 0.718 | 75% | 35.2‰ | 68.3 |
| paraná | pr | curitiba | 199314.9 | 10686247 | 51.48 | 108699740 (6.2%) | 10725 | 0.82 | 93% | 17.3‰ | 73.5 |
| pernambuco | pe | recife | 98311.6 | 8413593 | 85.58 | 47697268 (2.7%) | 5730 | 0.718 | 79% | 35.7‰ | 67.5 |
| piauí | pi | teresina | 251529.2 | 3006885 | 11.95 | 8611106 (0.5%) | 2892 | 0.703 | 72% | 26.2‰ | 68.2 |
| rio de janeiro | rj | rio de janeiro | 43696.1 | 16010429 | 352.05 | 222564408 (12.6%) | 14639 | 0.8320000000000001 | 96% | 18.3‰ | 72.4 |
| rio grande do norte | rn | natal | 52796.8 | 3003087 | 56.88 | 15906902 (0.9%) | 5370 | 0.738 | 77% | 32.2‰ | 69.8 |
| rio grande do sul | rs | porto alegre | 281748.5 | 10845087 | 38.49 | 142874611 (8.1%) | 13320 | 0.8320000000000001 | 95% | 12.7‰ | 74.5 |
| rondônia | ro | porto velho | 237576.2 | 1534594 | 6.46 | 9744908 (0.6%) | 6238 | 0.7759999999999999 | 92% | 22.4‰ | 70.6 |
| roraima | rr | boa vista | 224299.0 | 391317 | 1.74 | 1864318 (0.1%) | 4881 | 0.75 | 91% | 18.1‰ | 69.3 |
| santa catarina | sc | florianópolis | 95346.2 | 5866568 | 61.53 | 70208541 (4.0%) | 12159 | 0.84 | 95% | 15.0‰ | 74.8 |
| são paulo | sp | são paulo | 248209.4 | 42342877 | 162.93 | 546607616 (30.9%) | 13725 | 0.833 | 95% | 14.5‰ | 73.7 |
| sergipe | se | aracaju | 21910.3 | 1967761 | 89.81 | 13121517 (0.7%) | 6782 | 0.742 | 90% | 31.4‰ | 70.3 |
| tocantins | to | palmas | 277620.9 | 1305728 | 4.7 | 4768864 (0.3%) | 3776 | 0.7559999999999999 | 83% | 25.6‰ | 70.7 |
Title:
outline of brazil
Statement:
the state with the highest infant mortality (2002) does not have the lowest life expectancy (2004)
Answer:
refuted