����app

Quartiles are values that divide a data set into four equal parts, each containing 25% of the data. The second quartile, also known as the median, is the value that separates the higher half from the lower half of the data set. It is crucial for understanding data distribution and is calculated by finding the middle value when the data is ordered.

The mean is the average of a data set, calculated by summing all values and dividing by the number of values. In contrast, the median is the middle value of an ordered data set. Understanding the difference between these two measures of central tendency is essential, as they can yield different insights about the data, especially in skewed distributions.

Ordering data is the process of arranging values in a specific sequence, typically from smallest to largest. This step is fundamental in statistical analysis, particularly when calculating measures like the median and quartiles. Properly ordered data ensures accurate calculations and interpretations of central tendency and variability.