Which statistical concept measures the spread of data around the mean?VarianceMeanMedianStandard deviation

The statistical concept that measures the spread of data around the mean is the Standard deviation.

Explanation:

1. Mean: This is the average of a data set, calculated by adding all the numbers together and dividing by the count of numbers. However, it does not indicate the spread.

2. Median: This is the middle value of a data set when it is ordered. Like the mean, it shows the central tendency but not the spread of the data.

3. Variance: This quantifies the degree to which each number in the set differs from the mean and from each other. It's a measure of how data is spread out but is expressed in squared units, which can sometimes complicate interpretation.

4. Standard Deviation: This is the square root of the variance and provides a measure that is in the same units as the data. It indicates how much individual data points deviate, on average, from the mean. A low standard deviation means that the data points tend to be close to the mean, while a high standard deviation means that the data points are spread out over a wider range of values.

Given these points, standard deviation is the most appropriate measure of spread around the mean.