“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. 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 does not support the increase or the decrease. The data does not support the increase or the decrease. The data supports an increase in the unemployment rate followed by a decrease. The data supports an increase in the unemployment rate followed by a decrease. The data only supports a decrease in the unemployment rate in 2022. The data only supports a decrease in the unemployment rate in 2022. The data only supports an increase in unemployment in 2020.
The correct interpretation of the data with respect to the claim that the number of unemployed workers increased in 2020 and decreased in 2022 would be:
The data supports an increase in the unemployment rate followed by a decrease.