It is the upper quartile.
The median is the midpoint of the data set. So half the observations are greater than the median and half are smaller.
It is the lower quartile.
Because, if there is an even number of results in the set of data, the mean must be calculated by finding the half-way point between the two central numbers.
No, they must have a median. However, if the data set is of even order, the median may not belong to the data set. For example, the median of 1,2,3,10 is halfway between 2 and 3 or 2.5 which is not a data point.
You can't. You can get the median and mode from the data set, but not the histogram itself.
the upper quartile is the median of the upper half of a set of data. ;p
The median is the midpoint of the data set. So half the observations are greater than the median and half are smaller.
Median
To find the upper and lower quartiles of a data set, first, arrange the data in ascending order. The lower quartile (Q1) is the median of the lower half of the data, while the upper quartile (Q3) is the median of the upper half. If the number of data points is odd, exclude the median when determining these halves. Finally, use the following formulas: Q1 is the value at the 25th percentile, and Q3 is at the 75th percentile of the ordered data set.
The median, by definition, tells you the "half way point" of your data. Exactly half of the observations in the dataset will be less than the median and half will be greater than the median.
LQ (Lower Quartile) and UQ (Upper Quartile) are statistical measures that divide a data set into four equal parts. To calculate LQ, arrange the data in ascending order and find the median of the lower half of the data. For UQ, find the median of the upper half of the data. These quartiles help to summarize the distribution and identify the spread of the data.
median
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.
To find the median of the lower half of a data set, first, you need to organize the data in ascending order. Then, identify the lower half, which consists of the first half of the data points. If there is an even number of data points, the median is the average of the two middle values of this lower half; if odd, it is the middle value. This median represents the central tendency of the lower half of the data.
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.
To find the interquartile range (IQR) of a data set, first, arrange the data in ascending order. Then, identify the first quartile (Q1), which is the median of the lower half of the data, and the third quartile (Q3), which is the median of the upper half. The IQR is calculated by subtracting Q1 from Q3 (IQR = Q3 - Q1). This range represents the spread of the middle 50% of the data.
It is the lower quartile.