The interquartile range (IQR) is a measure of statistical dispersion, or spread, that provides information about the middle 50% of a dataset. It is calculated as the difference between the third quartile (Q3) and the first quartile (Q1) and is useful for identifying outliers and understanding the variability of the data.
The passing marks in Sanskrit out of 100 in intermediate exams usually range from 35-40%.
The prefix of interstate is "inter-".
The correct term is "inter-school." It is used to refer to activities, competitions, or events that involve multiple schools.
The word inside interviewing that means to bury is "inter".
"Inter" is a prefix meaning "between" or "among." However, "derogatory" refers to a remark or communication that belittles or disparages someone or something. So, "inter derogatory" does not have a widely accepted definition.
IQR = Inter Quartile RangeIQR = Inter Quartile RangeIQR = Inter Quartile RangeIQR = Inter Quartile Range
If the result is 1.5 x Inter Quartile Range (or more) above the Upper Quartile or 1.5 x Inter Quartile Range (or more) below the Lower Quartile.
The inter-quartile range.
where you take away the 10% of the data from 90% of the data
The inter-quartile range.
Yes, if you have a distribution with very little spread.
Subtract the lower quartile from the upper quartile.
IQR = Inter-Quartile Range = Upper Quartile - Lower Quartile.
Standard error, standard deviation, variance, range, inter-quartile range as well as measures based on other percentiles.
There is no need to lose your rag!It is the inter-quartile range.
When using the mean: the variance or standard deviation. When using the median: the range or inter-quartile range.
It is not possible to answer without any information on the spread (range, inter-quartile range, mean absolute deviation, standard deviation or variance).