“Big data” is a term used to express the huge amount of data available and the exponential rate at which it increases in volume. Big data has obvious benefits, but it also has risks. Big data can be false, have errors, be incomplete, inconsistent, ambiguous, uncorroborated, misinterpreted, misrepresented, or misunderstood. The following graph depicts the rate of unemployment from 2012 to 2022 for a country.

Question

The rate of unemployment is defined here as (number of unemployed) / (number in the available work force). Interpret this data with respect to the claim that the number of unemployed workers increased in 2020 and decreased in 2022.

(1 point)
Responses

The data only supports an increase in unemployment in 2020.
The data only supports an increase in unemployment in 2020.

The data does not support the increase or the decrease.
The data does not support the increase or the decrease.

The data only supports a decrease in the unemployment rate in 2022.
The data

Answer 1

only supports a decrease in the unemployment rate in 2022.

Based on your description, assuming that the graph shows clear trends for the years 2020 and 2022, it can be inferred that:

• For the year 2020, you mention that the number of unemployed workers increased, which should be reflected in a rise in the unemployment rate on the graph for that year.
• For the year 2022, if the graph shows a lower unemployment rate compared to previous years, this would support the claim that there was a decrease in unemployment.

Therefore, the most accurate interpretation based on the information provided would be: The data only supports an increase in unemployment in 2020 and a decrease in unemployment in 2022. However, since that specific response choice is not provided, you may need to select either the first or last response that aligns most closely with the points made.