LOW QUARTILE Meaning and
Definition
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Low quartile refers to the statistical measure used in data analysis, specifically in the field of statistics and probability. It is a term commonly used in the context of distribution and ranking of numerical data. The quartiles divide the data set into four equal parts, with the low quartile representing the lowermost 25% of the data points.
The low quartile is determined by organizing the data in ascending order and identifying the value that separates the lowest 25% of the data from the remaining 75%. This value is often denoted as Q1 or the first quartile. It indicates the lower boundary below which 25% of the observations fall. In other words, 25% of the data points are less than or equal to the low quartile.
The low quartile is a useful statistical measure as it provides insights into the distribution of data and helps in understanding the spread, variability, and skewness of the dataset. It is often used in conjunction with the median, high quartile, and interquartile range to depict the overall shape and location of the distribution. Additionally, the low quartile is essential for constructing box and whisker plots, which visually represent the quartiles and other summary statistics.
In summary, the low quartile represents the boundary below which 25% of the data points fall, providing valuable information about the distribution of a dataset.
Etymology of LOW QUARTILE
The term "low quartile" is derived from the combination of two words: "low" and "quartile".
The word "low" originated from the Old English word "lāh", which meant "not high" or "small in height". Over time, it has retained a similar meaning and is commonly used to describe something that is situated close to the ground or has a small magnitude or amount.
The word "quartile" has its roots in the Latin word "quartus", meaning "fourth" or "quarter". refers to one of the three points that divide a dataset into four equal parts when arranged in ascending order. These quartiles are commonly used in statistics to understand the distribution and characteristics of a dataset.
When combined, "low quartile" refers to the lowest of the three quartiles, or the boundary that divides the lowest 25% of the data from the remaining 75%.
