Consider the data: 1, 2, 2, 3, 4, 4, 5, 7, 11, 13 , 19 (arranged in ascending order)
Minimum: 1
Maximum: 19
Range = Maximum - Minimum = 19 - 1 = 18
Median = 4 (the middle value)
1st Quartile/Lower Quartile = 2 (the middle/median of the data below the median which is 4)
3rd Quartile/Upper Quartile = 11 (the middle/median of the data above the median which is 4)
InterQuartile Range (IQR) = 3rd Quartile - 1st Quartile = 11 - 2 = 9
Interquartile Range, or IQR
In Statistics the Five Number Summary is the sample's minimum, lower quartile, median, upper quartile and maximum.
gggggww
The idea when using quartiles is take all your data and write it out in increasing order then divide it in 4 equal parts.The upperquartile is the part containing the highest data values, the uppermiddle quartile is the part containing the next-highest data values,the lower quartile is the part containing the lowest data values,while the lower middle quartile is the part containing the next-lowest data values.Here is the catch-------------- the terms can also refer to cut-off values between the 4 sets.The term 'upper quartilevcan becut-off value between the upper quartile subset and the upper middlequartile subset. And, the 'lower quartile' can refer to a cut-off value between the lower quartile setand the lower middle quartile set. usually we look at the interquartile range (IQR) which is the range between the thrird and 1st quartileIQR is used to make box plots and other cool graphs.The upper quartile (Q3) is the median of the upper half of the data set. Q3 cuts off highest 25% of data And just FYI: first quartile (designated Q1) = lower quartile = cuts off lowest 25% of data = 25th percentile second quartile (designated Q2) = median = cuts data set in half = 50th percentile
The [vertical] sides of the box go from the Lower Quartile to the Upper Quartile. The Median is drawn parallel to these sides. The whiskers stretch out from half-way up the sides of the box to the minimum and the maximum.
Interquartile Range, or IQR
The quartile deviation(QD) is half the difference between the highest and lower quartile in a distribution.
It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.It shows the minimum, lower quartile, median, upper quartile and maximum of a set of observations. It may show outliers separately.
The interquartile range of a set of data is the difference between the upper quartile and lower quartile.
Quartile Deviation (QD)The quartile deviation is half the difference between the upper and lower quartiles in a distribution. It is a measure of the spread through the middle half of a distribution. It can be useful because it is not influenced by extremely high or extremely low scores. Quartile Deviation is an ordinal statistic and is most often used in conjunction with the median.why we calculating quartile deviation?
minimum maximum upper quartile lower quartile median
The first quartile, or the lower quartile, is the value such that a quarter of the observations are smaller and three quarters are larger.The third quartile, or the upper quartile, is the value such that three quarters of the observations are smaller and a quarter are larger.
The interquartile range :)
In Statistics the Five Number Summary is the sample's minimum, lower quartile, median, upper quartile and maximum.
From smallest to largest, they are the minimum, lower quartile, median, upper quartile and maximum.
One possibility is minimum, lower quartile, median, upper quartile and maximum.
There is no need to lose your rag!It is the inter-quartile range.