The box plot is used to represent the numeral data or the statistical data. You can find the ascending and descending order of the data. The box plot is used to represent the data systematically and it is easy to arrange the Median, Upper Quartile, and lower Quartile of the data.
You can use the box plot calculator to arrange the data and its distribution. When you are dealing with the statistical data, you need a symmetrical distribution. You can’t use the unarranged data sample to make the decision making, it is only possible when you are able to arrange the statistical data.
In this article, we are discussing the box plot and its useability in arranging the data.
Table of Contents
What are the box plot arrangements:
The box plot is perhaps the easiest way to find the ascending order, descending order, and also the minimum and maximum number. The box plot is a typical arrangement of the data.
And describes the numerical data in a symmetrical way. The box and whisker plot maker assist to arrange the data in a symmetrical way.
When you are studying statistical data, the main thing is understanding the whole set of data. This is quite essential when you are dealing with a whole set of populations or a large number of statistical data. You can use the box plot calculator to arrange the data and its distribution population and it is quite easy to identify the subsequent result.
There are various benefits of the box plot arrangements:
- The data is arranged and you can easily understand the various components.
- The mean, median, the ascending and descending order are determined by the box plot.
The box plot generator can be a simple way to identify the various components of the statistical data.
How to generate the box plot?
Consider a data set like 55, 62, 35, 32, 50, 57, and 54, we need to arrange the data values in ascending and descending order. We also want to find the maximum and minimum values of the dataset.
It is also required to find the first and the third quartile and the median values. The box plot calculator to arrange the data and its distribution population and its resultant.
Given:
The statistical data = 55, 62, 35, 32, 50, 57, 54
Then by using the box plot, we are going to arrange the dataset and its required values:
Solution:
| Ascending Order: | 32, 35 , 50, 54 , 55, 57 , 62 |
| Descending Order: | 62, 57 , 55, 54 , 50, 35 , 32 |
| Maximum Number: | 62 |
| Minimum Number: | 32 |
| Third Quartile: | 57.0 |
| First Quartile: | 35.0 |
| Median: | 55 |
When using the box and whisker plot calculator the ascending order is 32, 35, 50, 54, 55, 57, 62 and the descending order is 62, 57, 55, 54, 50, 35, 32. The maximum number is 62 and the minimum number is 32, and the first quartile median is 35 and the third quartile median is 57. The median of the data is 55.
The Range of the data:
You are also able to identify the range of the statistical data by the box plot estimation. For example when you are applying the box plot calculator to find the range of the data of the given example then:
- Range of dataset =Maximum value – Minimum value
- Range of dataset = 62 – 32
- Range of dataset = 30
The range of the data in the given example is 30. The variance of the data is about 30 numbers from the maximum to minimum values.
Conclusion:
The box plot is a simple and elaborative way to determine the nature and sequence of the statistical data. This makes it easy to analyze the data and the detail just by drawing a plot box. You are mostly able to gather all the details by box plot estimation.
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