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Box [and whisker] plots show 5 key statistics of a set of numerical data. It is of no use for qualitative data. From the smallest to the largest, the statistics plotted are:
- The minimum value
- The lower quartile (the value of the variable that is greater than a quarter of the observations)
- The median (the value of the variable that is greater than half the observations)
- The upper quartile (the value of the variable that is greater than three quarters of the observations)
- The maximum value.
(In slightly refined versions, outliers are separately identified).
The median is a measure of central tendency (average value). The difference between the quartiles is a measure of dispersion or spread around the average. The relative values of the five indicate whether or not the data set is skewed.
Box [and whisker] plots show 5 key statistics of a set of numerical data. It is of no use for qualitative data. From the smallest to the largest, the statistics plotted are:
- The minimum value
- The lower quartile (the value of the variable that is greater than a quarter of the observations)
- The median (the value of the variable that is greater than half the observations)
- The upper quartile (the value of the variable that is greater than three quarters of the observations)
- The maximum value.
(In slightly refined versions, outliers are separately identified).
The median is a measure of central tendency (average value). The difference between the quartiles is a measure of dispersion or spread around the average. The relative values of the five indicate whether or not the data set is skewed.
Box [and whisker] plots show 5 key statistics of a set of numerical data. It is of no use for qualitative data. From the smallest to the largest, the statistics plotted are:
- The minimum value
- The lower quartile (the value of the variable that is greater than a quarter of the observations)
- The median (the value of the variable that is greater than half the observations)
- The upper quartile (the value of the variable that is greater than three quarters of the observations)
- The maximum value.
(In slightly refined versions, outliers are separately identified).
The median is a measure of central tendency (average value). The difference between the quartiles is a measure of dispersion or spread around the average. The relative values of the five indicate whether or not the data set is skewed.
Box [and whisker] plots show 5 key statistics of a set of numerical data. It is of no use for qualitative data. From the smallest to the largest, the statistics plotted are:
- The minimum value
- The lower quartile (the value of the variable that is greater than a quarter of the observations)
- The median (the value of the variable that is greater than half the observations)
- The upper quartile (the value of the variable that is greater than three quarters of the observations)
- The maximum value.
(In slightly refined versions, outliers are separately identified).
The median is a measure of central tendency (average value). The difference between the quartiles is a measure of dispersion or spread around the average. The relative values of the five indicate whether or not the data set is skewed.
Wiki User
∙ 11y ago
Wiki User
∙ 11y agoBox [and whisker] plots show 5 key statistics of a set of numerical data. It is of no use for qualitative data. From the smallest to the largest, the statistics plotted are:
- The minimum value
- The lower quartile (the value of the variable that is greater than a quarter of the observations)
- The median (the value of the variable that is greater than half the observations)
- The upper quartile (the value of the variable that is greater than three quarters of the observations)
- The maximum value.
(In slightly refined versions, outliers are separately identified).
The median is a measure of central tendency (average value). The difference between the quartiles is a measure of dispersion or spread around the average. The relative values of the five indicate whether or not the data set is skewed.
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What are the advantages of box and whisker plots?
It's eaiser to see the outlier ( odd number) out of the data.
What are box plots?
Box plots are box-and-whiskers plot. Basically, it represents a set of data by marking its five number summary: lowest, quartile 1, median, quartile 3, and highest. Moreover, it also shows a dotted connection to outliers. See the link in the related links section below for an example of what it looks like.
How Do You describe the shape of a data set?
You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.
Which type of graph would best display data of the shape of the distribution?
stem-and-leaf plots
Where do you plot most scatter plots?
a scatter plot is a piece of data that shows you how to make a prediction
Could you give us the answers for pg 344 on world histor ags?
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.
How do you create a parallel box-and- whisker plots?
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.
What are the advantages of box and whisker plots?
It's eaiser to see the outlier ( odd number) out of the data.
How do you compare data sets using box-and-whisker plots?
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
Can two box plots have the same range and IQR and yet have completely different data?
No. Four of the data elements must be identical.
You want to construct a box-and-whisker plot from a data set What is the first thing you should do?
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.
What are box and whisker plots used in?
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.
Are line graphs the same as box and whisker plots?
No because box and whisker plots are related to cumulative frequency curves
Are box plots and dot plots similar?
spatial figure
Why should you rank your data?
Ranking of data allows calculation of ranges and percentiles. Quick estimation of correlation coefficient is possible (Spearman's method). Certain graphical displays of data, such as box and whiskers plots use percentiles.
What are box plots?
Box plots are box-and-whiskers plot. Basically, it represents a set of data by marking its five number summary: lowest, quartile 1, median, quartile 3, and highest. Moreover, it also shows a dotted connection to outliers. See the link in the related links section below for an example of what it looks like.
Do plots exist within subplots?
Yes, plots can exist within subplots in a larger visualization. This is a technique in data visualization where multiple plots are arranged within a single figure to facilitate comparison and analysis of different aspects of the data. Each subplot can represent a different segment of the data or a different perspective on the same data.
