If presents you with the upper and lower quartile range, although you have to do calculations in order to find the interquartile range, so no, it does not,
The box represents your Q1, Q2 (median) and Q3, so it is your interquartile range. The Q1 is the first box line, the Q2 is the middle one and the Q3 is the closing line. Your interquartile range basically tells you where 50% of the people are.
Median
Oh, dude, finding the mean, median, mode, and range on a box and whisker plot is like trying to make a sandwich with a hammer. The box and whisker plot already shows you the median (that's the line in the box) and the range (from whisker to whisker). The mean and mode aren't typically shown on a box plot because they're off doing their own thing, not invited to the box and whisker party.
A box plot may be used at a preliminary stage to determine the centre and spread of a set of data. The box [and whiskers] plot measures the central point by the median and the range from the maximum and minimum or the quartile points.
The whiskers go from the minimum to the maximum though outliers may be excluded. The box, itself, goes from the lower quartile to the upper quartile.
true
The box represents your Q1, Q2 (median) and Q3, so it is your interquartile range. The Q1 is the first box line, the Q2 is the middle one and the Q3 is the closing line. Your interquartile range basically tells you where 50% of the people are.
The box part represents the interquartile range.
A box plot is a visual representation of the distribution of a dataset. It displays the minimum, first quartile, median, third quartile, and maximum values of the dataset. The "box" in the plot represents the interquartile range, while the "whiskers" represent the range of the data excluding outliers.
The distance between 67.8 and 70.8 on a box plot is known as the interquartile range (IQR). It is calculated as the difference between the third quartile (Q3) and the first quartile (Q1), which represent the limits of the box in the box plot.
The interquartile range (IQR) in a box plot represents the range of values between the first quartile (Q1) and the third quartile (Q3). It is calculated by subtracting Q1 from Q3 (IQR = Q3 - Q1) and indicates the middle 50% of the data, providing a measure of statistical dispersion. The IQR is useful for identifying outliers and understanding the spread of the data. In a box plot, it is visually represented by the length of the box itself.
The inter-quartile range.
A box plot illustrates the variability of heights by displaying the range, interquartile range, and potential outliers. The length of the box indicates the interquartile range, highlighting where the middle 50% of the data lies, while the "whiskers" show the spread of the data outside this range. If the whiskers are long or there are many outliers, it suggests greater variability in heights. Conversely, a shorter box and shorter whiskers indicate less variability among the heights.
The sides of the box are the quartile values: the left is the first quartile and the right is the third quartile. The width, therefore is the interquartile range.
The center of a box plot is represented by the median, which is the value that divides the dataset into two equal halves. In a box plot, this is typically indicated by a line inside the box. The box itself represents the interquartile range (IQR), which encompasses the middle 50% of the data, while the whiskers extend to the minimum and maximum values within a specified range.
If you are talking about statisitics, in a box and whisker graph it is the interquartile range.
Median