The lower quartile of a data set is the value such that a quarter of the observations are less than or equal to it, and three quarters are larger. The upper quartile is the value such that three quarters of the observations are less than or equal to it, and a quarter are larger.
Interquartile refers to between these two numbers.
no
In math, the definition of a location is a point. A point gives a specific position or location on a plane surface.
Mass.
If a set of data are ordered by size, then the lower quartile is a value such that a quarter of the data are smaller than it. The upper quartile is a value such that a quarter of the data are larger than it. Interquartile means between the quartiles.
interquartile range or mean absolute deviation.
Yes, there does.
The interquartile range of a set of data is the difference between the upper quartile and lower quartile.
cuz when it does it gon mess it up in a way where u cant use it no more * * * * * That is a rubbish answer. By definition, all outliers lie outside the interquartile range and therefore cannot affect it.
what is the interquartile range of 16,17,19,22,23,25,27,36,38,40,40,45,46
Interquartile deviation Qd=(q3-q1) / 2
What is the math term to the definition survey?Well, the definition of survey is a method used and collects data.
the answer to a math question.
math is funn...
math stem
the interquartile range is not sensitive to outliers.
no
By definition a quarter of the observations are below the lower quartile and a quarter are above the upper quartile. In all, therefore, half the observations lie outside the interquartile range. Many of these will be more than the inter-quartile range (IQR) away from the median (or mean) and they cannot all be outliers. So you take a larger multiple (1.5 times) of the interquartile range as the boudary for outliers.