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You can see which has the largest spread of data.... Where the extreme values lie... The bigger the box the wider the spread of half of the data... and vice versa
A basic summary of data or a simple comparison of a few sets of data.A basic summary of data or a simple comparison of a few sets of data.A basic summary of data or a simple comparison of a few sets of data.A basic summary of data or a simple comparison of a few sets of data.
You can determine differences in:the median, a measure of central tendency;the inter quartile range (IQR). This is a measure of the spread of data around the median;skewness;number of outliers.
No. Four of the data elements must be identical.
Because you can compare the values easily, for instance, you can compare the highest and lowest value and compare this to the mean, does the highest and lowest value differ greatly from the mean? Then you know the correlation is a bit unpredictable, you can also use this to compare two box plots, putting them together you can see through the median and quartile range the best way to do something, etc.
You can see which has the largest spread of data.... Where the extreme values lie... The bigger the box the wider the spread of half of the data... and vice versa
Compare the shape,center,and spread of the data in the box plots with the data for stores A and B in the two box plots in example 2.
A basic summary of data or a simple comparison of a few sets of data.A basic summary of data or a simple comparison of a few sets of data.A basic summary of data or a simple comparison of a few sets of data.A basic summary of data or a simple comparison of a few sets of data.
by looking at it and seeing the difference
Parallel box and whisker plots are regular box and whisker plots, but drawn "one-above-the other" on the piece of paper. To enable to do this easily, draw an x-axis which is big enough for the largest value in the data, and small enough for the smallest value in the data (in the entire collection of data). Plot each box-and-whisker diagram below each other.
It's eaiser to see the outlier ( odd number) out of the data.
You can determine differences in:the median, a measure of central tendency;the inter quartile range (IQR). This is a measure of the spread of data around the median;skewness;number of outliers.
No. Four of the data elements must be identical.
Because you can compare the values easily, for instance, you can compare the highest and lowest value and compare this to the mean, does the highest and lowest value differ greatly from the mean? Then you know the correlation is a bit unpredictable, you can also use this to compare two box plots, putting them together you can see through the median and quartile range the best way to do something, etc.
What are the minimum, lower quartile, median, upper quartile and maximum?What the range and interquartile range are.whether the data ore positvely or negatively skewed.How two (or more) data sets compare in terms of the "average" and spread.
Box-and-whisker plots highlight central values in a set of data. In order to construct a box-and-whisker plot, the first step is to order your data numerically and find the median value.
Also called the box plots, see: http://mathworld.wolfram.com/Box-and-WhiskerPlot.html Many other excellent references can be found on the internet. The intent is to visually show graphically the mean (or median) of the data and the variability of data in terms of first quartile (Q1) and third quartile (Q3). Typically, it is applicable when there is sufficient and related data for a particular interval of time and the variability (range) of this data is of interest. The focus in generally is a time trend in the data. Changes in stock market prices or other economic/ financial analyses can use box plots. An example can be the selling price of automobiles per month because perhaps the median price is going down, but the high priced cars (Q3) is going up.