Quartile
The mean of the 6th and 7th values
Not sure about a whisker plot, but a box and whisker plot is a representation of statistical data for one variable (at a time).It consists of a rectangular shape, the "box", plotted against a horizontal value axis. The left side of the box is the lower quartile of the data and the right side is the upper quartile. The median divides the box.Extending out from both sides of the box are lines, the "whiskers", that reach to the minimum and maximum values.So, a box and whisker plot is defined byminumum,lower quartile (Q1),median (Q2),upper quartile (Q3), andmaximum.If there are outliers, they are usually excluded from the box and whiskers plot and are marked up separately as crosses.
The cumulative frequency curve is shaped like an S. The lower quartile is 1/4 the way up on the cumulative frequency axis. The upper quartile is 3/4 the way up on the cumulative frequency axis The inter-quartile range is the upper quartile minus the lower quartile as plotted on the horizontal axis. Further details can be found in a higher level maths text book.
box-and-whisker plot
It is the upper quartile.
A number does not have a quartile, a set of data does. The lower quartile of a set of data set is a value, in the data set, such that a quarter of the date set are smaller and three quarters are larger. The upper quartile is defined similarly. The middle quartile, better known as the median, divides the data set in two.
The upper quartile is the value such that a quarter of the data are greater than that value. Similarly, the lower quartile is the value such that a quarter of the data are lower than that value.
The quartiles for a set of data are three values - the lower quartile, the median and the upper quartile - such that they divide the data set into four parts with an [approximately] equal number of observations in each. Thus:a quarter of all the observations are smaller than the lower quartile,a quarter of all the observations are between the lower quartile and the median,a quarter of all the observations are between the median and the upper quartile, anda quarter of all the observations are greater than the upper quartile.The quartiles for a set of data are three values - the lower quartile, the median and the upper quartile - such that they divide the data set into four parts with an [approximately] equal number of observations in each. Thus:a quarter of all the observations are smaller than the lower quartile,a quarter of all the observations are between the lower quartile and the median,a quarter of all the observations are between the median and the upper quartile, anda quarter of all the observations are greater than the upper quartile.The quartiles for a set of data are three values - the lower quartile, the median and the upper quartile - such that they divide the data set into four parts with an [approximately] equal number of observations in each. Thus:a quarter of all the observations are smaller than the lower quartile,a quarter of all the observations are between the lower quartile and the median,a quarter of all the observations are between the median and the upper quartile, anda quarter of all the observations are greater than the upper quartile.The quartiles for a set of data are three values - the lower quartile, the median and the upper quartile - such that they divide the data set into four parts with an [approximately] equal number of observations in each. Thus:a quarter of all the observations are smaller than the lower quartile,a quarter of all the observations are between the lower quartile and the median,a quarter of all the observations are between the median and the upper quartile, anda quarter of all the observations are greater than the upper quartile.
The interquartile range of a set of data is the difference between the upper quartile and lower quartile.
Iqr stands for inter quartile range and it is used to find the middle of the quartiles in a set of data. To find this, you find the lower quartile range and the upper quartile range, and divide them both together.
One possibility is minimum, lower quartile, median, upper quartile and maximum.
It is an overview of the distribution of a data set. The values that are plotted are:the minimum,the lower quartile (a quarter of the data points are smaller),the median (half the data points are smaller),the upper quartile (a quarter of the data points are larger),the maximum.
in a set as such {2,3,4,5,6,7,8,}, 5 would be the median, 7 would be the upper quartile, and 3 would be the lower quartile. The lower quartile divides the lower half of a set of data into two equal parts
No. The IQR is found by finding the lower quartile, then the upper quartile. You then minus the lower quartile value from the upper quartile value (hence "interquartile"). This gives you the IQR.
The upper quartile is the 75% point of the variable. That is, it is the point with 75% of the observations below it and 25% of the observations above it. The upper quartile is the upper 25% of the data.
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