The second quartile.
the upper quartile is the median of the upper half of a set of data. ;p
Yes because if the numbers are all the same they can be both mean and median but they do not have to be the same.
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 median is the middle value of a list of numbers. In [1,6,34] the median value is 6.
The median is the middle value or, in your case, where there is an even amount of numbers, the average of the two middle numbers. This means the median of 84 and 85 is the same as the average, which is 84.5 (84 and 85 divided by 2)
Median = 50th percentile or 2nd quartile or 5th decile.
The second quartile, also known as the median, is equal to the median of a dataset. It represents the value that divides the data into two equal halves, meaning that 50% of the data points fall below it and 50% fall above it. Therefore, the second quartile is neither more nor less than the median; they are the same.
A quartile deviation from some specified value, is the value or values such that a quarter of the observed values fall between these values and the specified value. Usually, but not always, the specified value is the median - the value such that have the observed values are below (and above) it. In that case, one quartile values will have a quarter of the values below it and the other will have a quarter of the values above it. The quartile deviations will be the differences between median and the two quartiles just calculated.
No, it is not possible for the median to be larger than the third quartile. The median, which represents the middle value of a dataset, divides the data into two equal halves, while the third quartile (Q3) marks the 75th percentile, indicating that 75% of the data falls below it. By definition, the median will always be less than or equal to the third quartile in a sorted dataset.
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
Roughly speaking, finding the third quartile is similar to finding the median. First, use the median to split the data set into two equal halves. Then the third quartile is the median of the upper half. Similarly, the first quartile is the median of the lower half.
Median is found by the middle number in a sorted data set. So half of the numbers are greater than the median, and half are below the median. Quartile represents one fourth (or 25%) of the data set. They are usually labeled something like first, second, third, fourth (or sometimes top quartile, bottom quartile). For example, if 24 people are in a class and take a test. 24/4 = 6, so the top six grades would be in the top quartile (I don't remember if this is considered first or fourth). If you are in the top quartile, then you did better than at least 75% of the whole class. Since 24 is even, there is no 'middle number', so the arithmetic average of number 12 & 13 are taken to find the median.
The median
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.
A quartile is a given section in a range of data. To find the quartile, you must first find the median. Then find the "median of the median", using these to separate your data into sections, giving you a total of four sections of data.
Quartiles in statistics are three values such that the lower quartile, second quartile (better known as the median) and upper quartile divide up the set of observations into four subsets with equal numbers in each subset.a quarter of the observations are smaller than the lower quartile,a quarter of the observations are between the lower quartile and the median,a quarter of the observations are between the median and the upper quartile, anda quarter of the observations are greater than the upper quartile,
An outlier.