Go through the information given below, and answer the questions that follow. The three graphs below capture the relationship between economic (and social) activities and subjective wellbeing. The first graph (Graph-1) captures the relationship between GDP (per-capita) and Satisfaction with life, across different countries and four islands: Gizo, Roviana, Niijhum Dwip, and Chittagong. The Graph-2 captures three different measures of subjective well-being (Satisfaction with life, Affect Balance and Momentary Affect) across the four islands, which have different levels monetization (Index). The Graph-3 captures levels of thirteen different socio-economic activities across four islands. Which of the following, about the four islands, can be BEST inferred from the graphs?
Whenever affect balance increases, satisfaction with life decreases
Whenever Pleasant activities increase, satisfaction with life decreases
Whenever Religion increases, satisfaction with life decreases
Whenever satisfaction with life increases, family also increases
Index of monetization varies maximum in Nijhum Dwip
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Solution and Explanation
To determine the best inference from the graphs provided, we need to analyze the data presented in all three graphs. Here's a structured approach to solving the problem:
Understanding Graph-1: This graph shows the relationship between GDP (per-capita) and Satisfaction with life across various countries, including the four islands: Gizo, Roviana, Niijhum Dwip, and Chittagong. This context provides a background on how economic prosperity may or may not correlate with life satisfaction in different regions.
Analyzing Graph-2:This graph presents three measures of subjective well-being: Satisfaction with life, Affect Balance, and Momentary Affect across the four islands, each with different levels of monetization. Here, the level of monetization reflects the degree to which economies rely on market-based transactions, influencing subjective well-being differently.
Evaluating Graph-3: This graph displays levels of thirteen different socio-economic activities across the islands. These activities include indicators like Religion, Family, and Pleasant activities, among others, influencing or reflecting social and economic conditions.
Matching the statements to data: Now we evaluate the options provided:
Whenever affect balance increases, satisfaction with life decreases: Graph-2 does not consistently show this inverse relationship across the four islands.
Whenever Pleasant activities increase, satisfaction with life decreases: No clear pattern showing an inverse relationship across islands in Graph-3.
Whenever Religion increases, satisfaction with life decreases: Again, no consistent inverse relationship is evident in Graph-3 data.
Whenever satisfaction with life increases, family also increases: Graph-3 does not clearly demonstrate a direct relationship between these variables across the islands.
Index of monetization varies maximum in Nijhum Dwip: Graph-2 shows significant fluctuation in monetization index levels across Niijhum Dwip compared to the other islands, indicating the maximum variation.
Inference from complete analysis: The statement that best fits the data across the graphs is: "Index of monetization varies maximum in Niijhum Dwip." This concludes our analysis based on the information provided in the graphs.