The measure of center in a box plot is typically represented by the median, which is the line inside the box. This line divides the box into two equal parts, indicating that half of the data points fall below this value and half above it. The box itself represents the interquartile range (IQR), which includes the middle 50% of the data, while the whiskers extend to the minimum and maximum values within 1.5 times the IQR.
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.
They are some measure of the dispersion or range of numbers in the set of data.
It is a measure of the spread of the variable. Also, in conjunction with the median, it gives a measure of the skewness.
False
false
The median.
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.
They are some measure of the dispersion or range of numbers in the set of data.
It is a measure of the spread of the variable. Also, in conjunction with the median, it gives a measure of the skewness.
Yes
False
false
the example for the box and whisker plot is THESE NUTSS
The answer will depend on what PLOT A and PLOT B are. But since you have chosen not to provide that information the answer is
the plot the plot
The Plot is all about the Mystery of the Elysian Box. Please see the related link below to read about the Diabolical 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.