There are 5 (not 4) parts of an elementary box and whiskers plot. From left to right, they are: minimum, lower quartile, median, upper quartile, and maximum. A more advanced version of plot is used for data containing outliers. In such cases the whiskers extend to the minimum or maximum EXCLUDING the outlier(s) and the outliers themselves are marked with Xs - beyond the scope of the whiskers.
A box and whisker plot may not have whiskers if all the data points fall within the interquartile range (IQR), resulting in no values outside this range. This can occur in a dataset where all values are identical or very closely clustered within the quartiles. Additionally, if there are outliers that are significantly distant from the rest of the data, the whiskers may extend only to the closest non-outlier values, potentially leading to situations where one or both whiskers are absent.
The whiskers mark the ends of the range of figures - they are the furthest outliers. * * * * * No. Outliers are not part of a box and whiskers plot. The whiskers mark the ends of the minimum and maximum observations EXCLUDING outliers. Outliers, if any, are marked with an X.
It was invented by the American statistician John Tukey in 1977
They are some measure of the dispersion or range of numbers in the set of data.
The minimum - or outlier-adjusted minimum.
Outliers on a modified box plot will be noted away from the ends of the whiskers, as they are not considered part of the range, due to the fact that they are so different from the rest of the data. In a regular box plot, the lowest value, whether it is an outlier or not, will be the beginning of the 1st whisker, the highest value, whether an outlier or not will be the end of the 2nd whisker.
i can not tell you need to space it out and to find outlier try using a box and whisker plot. and if it is just one number there is no outlier
There are 5 (not 4) parts of an elementary box and whiskers plot. From left to right, they are: minimum, lower quartile, median, upper quartile, and maximum. A more advanced version of plot is used for data containing outliers. In such cases the whiskers extend to the minimum or maximum EXCLUDING the outlier(s) and the outliers themselves are marked with Xs - beyond the scope of the whiskers.
There can be no sensible box-and-whiskers plot for just one number - no matter how large it is.There can be no sensible box-and-whiskers plot for just one number - no matter how large it is.There can be no sensible box-and-whiskers plot for just one number - no matter how large it is.There can be no sensible box-and-whiskers plot for just one number - no matter how large it is.
By transferring the numerical data from the cumulative frequency curve into a box and whiskers plot.
A box and whisker plot may not have whiskers if all the data points fall within the interquartile range (IQR), resulting in no values outside this range. This can occur in a dataset where all values are identical or very closely clustered within the quartiles. Additionally, if there are outliers that are significantly distant from the rest of the data, the whiskers may extend only to the closest non-outlier values, potentially leading to situations where one or both whiskers are absent.
The highest and lowest numbers in a box and whisker plot are shown by the two dots at the end of the "whiskers". To find the range, you must subtract the highest number from the lowest number.
The whiskers mark the ends of the range of figures - they are the furthest outliers. * * * * * No. Outliers are not part of a box and whiskers plot. The whiskers mark the ends of the minimum and maximum observations EXCLUDING outliers. Outliers, if any, are marked with an X.
It was invented by the American statistician John Tukey in 1977
They are some measure of the dispersion or range of numbers in the set of data.
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.