no max-min
The box and whisker plot informs you of the 5 number summary, which comprises of the minimum and maximum, the median, and the first and third quartiles. The minumum and maximum give you the range, which is not given by measures of central tendancy. also, if it a modified box and whisker plot, outliers will be marked separatley from the rest of the plot, outliers are also not included in the measures of center.
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.
interquartile range
the interquartile range is not sensitive to outliers.
The range is very sensitive to outliers. Indeed if there are outliers then the range will be unrelated to any other elements of the sample.
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.
The box and whisker plot informs you of the 5 number summary, which comprises of the minimum and maximum, the median, and the first and third quartiles. The minumum and maximum give you the range, which is not given by measures of central tendancy. also, if it a modified box and whisker plot, outliers will be marked separatley from the rest of the plot, outliers are also not included in the measures of center.
Box & Whisker
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.
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.
Box and whisker plots, or box plots, visually summarize a dataset's distribution by displaying its minimum, first quartile (Q1), median, third quartile (Q3), and maximum values. The "box" represents the interquartile range (IQR) between Q1 and Q3, while the "whiskers" extend to the smallest and largest values within 1.5 times the IQR from the quartiles. Outliers beyond this range are typically marked individually. This type of plot helps identify the central tendency, variability, and potential outliers in the data.
interquartile range
the interquartile range is not sensitive to outliers.
The range is very sensitive to outliers. Indeed if there are outliers then the range will be unrelated to any other elements of the sample.
The formula for calculating the least count of a voltmeter is least count = Range / Number of divisions. Where the Range is the maximum voltage that the voltmeter can measure and the Number of divisions is the total number of divisions on the voltmeter scale.
To find measures of variability, you typically calculate the range, variance, and standard deviation of a dataset, which provide insights into how spread out the data points are. A box-and-whisker plot is then constructed by identifying the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum values of the data. The box represents the interquartile range (IQR) between Q1 and Q3, while the "whiskers" extend to the minimum and maximum values, excluding outliers. Analyzing the plot allows you to assess the distribution, central tendency, and potential outliers in the data.
A box-and-whisker plot, also known as a box plot, is a graphical representation of a dataset that summarizes its distribution through five key statistics: the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum. The "box" displays the interquartile range (IQR), which contains the middle 50% of the data, while the "whiskers" extend to the minimum and maximum values, excluding outliers. This plot is useful for visualizing the spread and skewness of the data and for identifying potential outliers.