Final answer:
The mean and standard deviation can provide information about air pollution levels, but may not capture the full picture of the specific pollutants and their health effects.
Step-by-step explanation:
The mean and standard deviation of the AQI can provide information about the average level of air pollution and the amount of variability in the data, respectively.
To compute the mean, add up all the AQI values in the data set and divide by the number of values. To compute the standard deviation, subtract the mean from each AQI value, square the differences, add them up, divide by the number of values, and take the square root.
A boxplot is a visualization that displays the minimum, lower quartile, median, upper quartile, and maximum values of a data set. It can help identify outliers and the spread of the data.
The mean and standard deviation are useful measures of the level of air pollution in a city because they provide an overall summary of the data. However, they may not capture the full picture of air pollution as they do not consider the specific pollutants present or their individual health effects.