Get the free Box-and-Whisker Plots Period Seat - jennifer_parcell azschool

124 Practice Form G Name BoxandWhisker Plots Period Seat # Find the minimum, first quartile, median, third quartile, and maximum of each data set. 1. 220 150 200 180 320 330 300 2. 14 18 12 17 14

How to fill out box-and-whisker plots period seat

How to fill out box-and-whisker plots period seat:

1. Start by collecting the data: Gather the numerical data that you want to represent in the box-and-whisker plot. Make sure to organize the data in ascending or descending order.
2. Determine the five-number summary: The five-number summary consists of the minimum value, the first quartile (Q1), the median (Q2), the third quartile (Q3), and the maximum value. To find these values, use the sorted data and calculate the minimum, maximum, median, and quartiles (Q1 and Q3).
3. Draw a number line: On a piece of graph paper, draw a horizontal number line that covers the range from the minimum to the maximum values determined in the previous step.
4. Mark the quartiles: At the appropriate positions on the number line, mark the values of Q1, Q2 (median), and Q3.
5. Draw the box: Use a ruler to draw a box spanning from Q1 to Q3 on the number line. This represents the interquartile range (IQR) or the middle 50% of the data.
6. Add the whiskers: Extend lines (whiskers) from the box to the minimum and maximum values. These lines represent the spread of the data.
7. Identify outliers: Determine if there are any outliers in your data. Outliers are data points that are significantly higher or lower than the rest of the data. They can be represented as individual data points outside the whiskers or as asterisks on the plot.

Who needs box-and-whisker plots period seat:

1. Students studying statistics: Box-and-whisker plots are commonly used in statistics to analyze the distribution and variability of data. Students studying this subject will need to understand how to create and interpret box-and-whisker plots.
2. Researchers and analysts: Box-and-whisker plots provide a quick and visual summary of data, making them useful for researchers and analysts in various fields. These plots help identify outliers, compare distributions, and understand the spread of data.
3. Data visualization professionals: Box-and-whisker plots are frequently used in data visualization to present data in a clear and concise manner. Professionals working in data visualization need to have a good understanding of creating and interpreting box-and-whisker plots to effectively convey information to their audience.

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