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A box plot is usually used to help graph minimum, first quarter, second quarter (mean), third quarter, max.

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Vaughn Herzog

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2y ago

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What is a boxplot and what is its' purpose?

A box plot is usually used to help graph minimum, first quarter, second quarter (mean), third quarter, max.


What are the above five values called?

Boxplot


A plot that divides a data set into four parts two above and two below the median?

A boxplot.


How do you make a box plot in Excel?

Excel does not have a native BOXPLOT function, but you can replicate the function by following the instructions in the related links.


What is the purpose of a stem and leaf plot?

to simply organise your numbers.ajm If you can make a histogram, a dotplot, or even a boxplot; there is no reason to do a steam and leaf plot. It's the worst graph. With a stem and leaf graph, you can see the distribution of data points, and determine whether it's normal distribution or not. As mentioned above, there are better graphs for doing that, though.


How do you Create a box plot of data that does not have any outliers?

Go into your data to determine which values are outliers and if they're significant and random (not an apparent group), eliminate them. This will take them out of your boxplot.


(b) To make a boxplot of a distribution you must know what?

To create a boxplot of a distribution, you must know the five-number summary, which includes the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum values of the data set. Additionally, understanding how to identify outliers and the overall range of the data is important for accurately representing the distribution. Boxplots visually summarize the central tendency, variability, and skewness of the data.


What is a boxpolt?

In descriptive statistics, a boxplot (also known as a box-and-whisker diagram or plot or candlestick chart) is a convenient way of graphically depicting groups of numerical data through their five-number summaries (the smallest observation, lower quartile (Q1), median, upper quartile (Q3), and largest observation). A boxplot also indicates which observations, if any, might be considered outliers. The boxplot was invented in 1977 by the American statistician John Tukey. Boxplots are able to visually show different types of populations, without making any assumptions of the underlying statistical distribution. The spacings between the different parts of the box help indicate variance, skewness and identify outliers. Boxplots can be drawn either horizontally or vertically.


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