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Sagot :
To determine which conclusion is best supported by the data provided in the table, we will systematically analyze each statement using the given indicators: Life Expectancy at Birth, Immunization Rate for Measles, and Annual Population Growth.
1. Statement F: Health care was more expensive in Argentina than in Brazil.
- The table does not provide any information regarding health care costs. This means there is no data to either support or refute this statement.
2. Statement G: The quality of life was better in Peru than in Brazil.
- To evaluate the quality of life, we will look at the indicators such as Life Expectancy and Immunization Rate.
- Life Expectancy at Birth:
- Peru: 73 years
- Brazil: 72 years
- Immunization Rate for Measles:
- Peru: 90%
- Brazil: 99%
- Comparing these two indicators, Brazil has a higher Immunization Rate which is a critical aspect of health and hence quality of life. Although Peru has a slightly higher Life Expectancy, the difference in Immunization Rate is significant.
- Therefore, we cannot conclusively say that the quality of life was better in Peru than in Brazil based on these indicators.
3. Statement H: Peru had a greater number of young people than Bolivia.
- This can be inferred from the Annual Population Growth rate, as a higher growth rate suggests a younger population.
- Peru: 1.1%
- Bolivia: 1.8%
- Since Bolivia has a higher population growth rate than Peru, it typically indicates a larger proportion of young people.
- Therefore, this statement is not supported by the data.
4. Statement J: Bolivia had a lower standard of living than Argentina.
- To evaluate the standard of living, we again consider Life Expectancy and Immunization Rates.
- Life Expectancy at Birth:
- Bolivia: 66 years
- Argentina: 75 years
- Immunization Rate for Measles:
- Bolivia: 86%
- Argentina: 99%
- Both indicators, Life Expectancy and Immunization Rate, are considerably higher in Argentina compared to Bolivia which suggests a higher standard of living in Argentina.
From the analysis, the conclusion that is most strongly supported by the data provided in the table is:
J: Bolivia had a lower standard of living than Argentina.
1. Statement F: Health care was more expensive in Argentina than in Brazil.
- The table does not provide any information regarding health care costs. This means there is no data to either support or refute this statement.
2. Statement G: The quality of life was better in Peru than in Brazil.
- To evaluate the quality of life, we will look at the indicators such as Life Expectancy and Immunization Rate.
- Life Expectancy at Birth:
- Peru: 73 years
- Brazil: 72 years
- Immunization Rate for Measles:
- Peru: 90%
- Brazil: 99%
- Comparing these two indicators, Brazil has a higher Immunization Rate which is a critical aspect of health and hence quality of life. Although Peru has a slightly higher Life Expectancy, the difference in Immunization Rate is significant.
- Therefore, we cannot conclusively say that the quality of life was better in Peru than in Brazil based on these indicators.
3. Statement H: Peru had a greater number of young people than Bolivia.
- This can be inferred from the Annual Population Growth rate, as a higher growth rate suggests a younger population.
- Peru: 1.1%
- Bolivia: 1.8%
- Since Bolivia has a higher population growth rate than Peru, it typically indicates a larger proportion of young people.
- Therefore, this statement is not supported by the data.
4. Statement J: Bolivia had a lower standard of living than Argentina.
- To evaluate the standard of living, we again consider Life Expectancy and Immunization Rates.
- Life Expectancy at Birth:
- Bolivia: 66 years
- Argentina: 75 years
- Immunization Rate for Measles:
- Bolivia: 86%
- Argentina: 99%
- Both indicators, Life Expectancy and Immunization Rate, are considerably higher in Argentina compared to Bolivia which suggests a higher standard of living in Argentina.
From the analysis, the conclusion that is most strongly supported by the data provided in the table is:
J: Bolivia had a lower standard of living than Argentina.
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