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8CMP06 PW SP 171194.QED 3/10/06 8:50 PM Page 177 Name Date Class Investigation 1 Skill: BoxandWhisker Plots Samples and Populations Use the boxandwhisker plot to find each value. Height in Inches
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How to fill out skill box-and-whisker plots continued

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How to fill out skill box-and-whisker plots continued:

01
Begin by organizing your data set in ascending order.
02
Determine the minimum value, which is the smallest value in the data set. This will be represented by a dot or short line segment on the left side of the plot.
03
Find the lower quartile (Q1), which is the median of the lower half of the data set. It divides the data into quarters, with 25% of the data falling below it. This will be represented by a line segment extending from the left side of the plot.
04
Locate the median, which is the middle value of the data set. If the data set has an odd number of values, the median is the value in the exact center. If the data set has an even number of values, the median is the average of the two middle values. This will be represented by a line segment extending from the left side of the plot to the right side.
05
Find the upper quartile (Q3), which is the median of the upper half of the data set. It divides the data into quarters, with 75% of the data falling below it. This will be represented by a line segment extending from the right side of the plot.
06
Determine the maximum value, which is the largest value in the data set. This will be represented by a dot or short line segment on the right side of the plot.
07
Add any outliers to the plot. Outliers are values that are significantly higher or lower than the rest of the data. These can be represented by individual dots or short line segments extending from the plot.
08
Label each section of the plot accordingly, including the minimum, lower quartile, median, upper quartile, and maximum.

Who needs skill box-and-whisker plots continued:

01
Students studying statistics or data analysis in mathematics or related fields may need to understand how to fill out skill box-and-whisker plots as part of their coursework.
02
Researchers or analysts in various industries, such as finance, market research, or healthcare, who need to visualize and analyze data sets may find box-and-whisker plots useful.
03
Data scientists or statisticians who work with large data sets and need to identify key statistical measures, such as quartiles and outliers, would benefit from using box-and-whisker plots.

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Skill box-and-whisker plots continued is a graphical representation of the distribution of a dataset that shows the minimum, first quartile, median, third quartile, and maximum values.
Anyone working with data analysis or statistics may need to create and interpret box-and-whisker plots.
To create a box-and-whisker plot, the minimum, first quartile, median, third quartile, and maximum values of the dataset must be determined and plotted accordingly.
The purpose of box-and-whisker plots is to visually summarize the distribution, skewness, and outliers in a dataset.
The key information reported on a box-and-whisker plot includes the minimum, first quartile, median, third quartile, and maximum values.
The deadline to file box-and-whisker plots in 2023 will depend on the specific context or project requirements.
The penalty for late filing of box-and-whisker plots may vary depending on the organization or educational institution's policies.
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