Another name for second quartile, Q2, is median. It is also sometimes referred to as P50.
The median
The lower quartile is the second smallest and the upper quartile is the fourth smallest (second largest).
What is coefficient of quartile deviation?
In a data sample, the purpose of quartile deviation is a way to measure data dispersion instead of using the range. The quartile deviation is found by subtracting the lower quartile from the upper quartile, and dividing this result by two.
Interquartile Range, or IQR
There is no other name for the 25th quartile. The 50th is known as the median though but the 75th quartile also doesn't have another name.
The second quartile.
50%. The second quartile is the median.
Another name for the third quartile of a data set is the 75th percentile. It represents the value below which 75% of the data points fall, indicating the upper range of the data distribution. The third quartile is often denoted as Q3.
The median
A quartile divides a grouping into four. The first quartile will have the first 25% of the group, the second quartile will have the second 25% of the group, the third quartile will have the third 25% of the group and the last quartile will have the last 25% of the group. For example if a classroom had 20 students who had all taken a test, you could line them up, the top 5 marks would be in the first quartile, the next five would be in the second quartile, the next 5 would be in the third quartile, and the 5 students with the lowest marks would be in the last quartile. Similarly, a percentile divides a grouping, except the group is divided into 100. Each 1% represent 1 percentile.
The lower quartile is the second smallest and the upper quartile is the fourth smallest (second largest).
A quartile is a statistical term that divides a dataset into four equal parts, each representing a quarter of the data. The three main quartiles are the first quartile (Q1), which marks the 25th percentile, the second quartile (Q2) or median, which represents the 50th percentile, and the third quartile (Q3), which corresponds to the 75th percentile. These quartiles help to summarize and analyze the distribution of data points.
75th percentile
Quartiles in statistics are three values such that the lower quartile, second quartile (better known as the median) and upper quartile divide up the set of observations into four subsets with equal numbers in each subset.a quarter of the observations are smaller than the lower quartile,a quarter of the observations are between the lower quartile and the median,a quarter of the observations are between the median and the upper quartile, anda quarter of the observations are greater than the upper quartile,
interquartile range or IQR
Interquartile range.