A second quartile Q2 is a median. A first quartile Q1 is a point at or below which lies at least one-quarter of the data and at or above which lies at least three-quarters of the data. A third quartile Q3 is a point at or below which lies at least three-quarters of the data and at or above which lies at least one-quarter of the data.
Values that divide a distribution or a sample of data into four groups containing (as far as possible) equal probability or equal numbers of observations. The first or lower quartile is equivalent to the 0.25 quantile, and the third or upper quartile is the 0.75 quantile. The second quartile is the median.
The 25th, 50th and 75th percentile points. (See definition of Percentile.)
the sample quartiles are three values which split the ordered sample values into four groups of equal size; the second quartile is the median.
Division of the data into four groups of equal size.
The three values that divide an ordered set into four subsets of approximately equal size. The second quartile is the median.
Quartiles are a statistical method of ranking performance. Lower quartile - the lowest 25% of councils fall below this value Average performance - the value which describes the middle 50% (median) performance Upper quartile - the highest 25% of councils fall above this value
Three values that divide the total frequency of a set of data into four equal parts. The central value is called the median and the other two are called the upper and lower quartiles, respectively.
Statistics which divide the observations in a numeric sample into 4 intervals, each containing 25% of the data. The lower, middle, and upper quartiles are computed by ordering the data from smallest to largest and then finding the values below which fall 25%, 50%, and 75% of the data. The middle quartile is usually called the median. Quartiles are special cases of percentiles. The lower quartile, median, and upper quartile are the same as the 25th, 50th, and 75th percentiles. Box and whisker plots provide a graphical summary of a data sample in terms of its quartiles. Upper and lower quartiles are calculated in the One Variable Analysis Statlet.
The lower (Q1) quartile is the value below which the bottom 25% of the sample data lie, and the upper (Q3) quartile is the value above which the upper 25% lie. NB. The middle quartile (Q2) corresponds to the median.
These terms, which are used by performance analysts, refer to the four quarters of 100%. Being in the first quartile simply means the fund is in the top 25%. But this doesn't necessarily mean it has made any money, just that it has done well against other funds.
Five data points denoting the distribution or spacing of data in a dataset. By convention, these data points are labeled Q0 through Q4, with Q0 representing the smallest value in the dataset, and Q4 the largest value in the dataset. Q2 represents the median value of the data and Q1 and Q3 the median values for each half of the data. The quartiles disclosed by Ginnie Mae are weighted by aggregated RPB.