# Algebra Homework Box And Whisker Plots Answers

Box-and-whisker plot worksheets have skills to find the five-number summary, to make plots, to read and interpret the box-and-whisker plots, to find the quartiles, range, inter-quartile range and outliers. Word problems are also included. These printable exercises cater to the learning requirements of students of grade 6 through high school. Grab some of these worksheets for free!

## Algebra Homework Box And Whisker Plots Answers

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A set of data in statistics is a collection of measurements modified in some way and treated as a group. Statistics is the field of study that analyzes and organizes data, often in sets. There are statistical techniques to work with this information such as mining, triaging, and visualizations that provide clear insight into an informational set. The whole point is to help us make sense of the data and gain some insight that will help us make better informed decisions.Sets often include numerical, categorical, or text data. Examples of statistical concepts include frequencies, measures of central tendency, box and whisker plots, variance, standard deviation, estimation, correlation, etc. A box and whisker plot is a quick, easy-to-read statistical process that is often used to represent the distribution of measurements. It is a tool used to give life by visualize numerical data in two dimensions. Moreover, it shows information about a continuous variable in two ways: by the range (the maximum and minimum values) and by stem-and-leaf displays of the data. This series of worksheets and lessons will explore how to create and evaluate box and whisker plots to help you make sense of a variety of data.

When we plot grouped data on a graph, we have to calculate some basic quantities which help in identifying the trends of the plotted figures. The visualization of the data helps in the identification of outliers, the symmetry of the values, how tightly packed the information is if the data is skewed, and which quantities lie in its quartiles. Some of the common modes of visualizing the data for all the above-mentioned quantities include density plot, histogram, and box-and-whisker plots. The box-and-whisker plot, also known as simply box-plot, is based on five numbers of the data set including upper quartile, lower quartile, median, minimum value, and the maximum value.

Box and whisker plots are typically used to display data on a single variable, where the use of a box indicates discrete categories, and the values within each box are displayed using horizontal and vertical lines. Box and whisker plots can be useful for creating visual summaries which highlight the primary features for comparison. In contrast, dot plots can provide a more detailed view of features but are generally less legible across a wide range of the numerical sets.

Box and whisker plots are a great way to display large pools of data in a nice a succinct chart. This makes it very helpful to display the scores on examinations of tests that many people have taken. For example, the SAT and ACT data is often displayed this way. This helps the test takers to see where their skills were demonstrated as compared to their peers. This method of displaying results is also helpful for anything that has a great deal of change over time because it tends to almost ignore outliers that other charts seem to give you a general sense of. They are really helpful for understanding a population, but they often neglect to communicate individual trials to any extent at all.

Box and whisker plots are a tool that Excel spreadsheet users might be familiar with. This simple graphic shape represents the center of a distribution of data and the upper and lower quartiles or values that divide a distribution into two halves. When you have several data sets from different sources connected somehow, use box and whisker graphs.

Box plots (also called box-and-whisker plots or box-whisker plots) give a good graphical image of the concentration of the data. They also show how far the extreme values are from most of the data. A box plot is constructed from five values: the minimum value, the first quartile, the median, the third quartile, and the maximum value. We use these values to compare how close other data values are to them.

As we move into the new topic, box and whisker plots, I continue to emphasize the importance of the diagram. Finding the quartiles is one task in itself that will provide useful information; diagraming the data will aid comparisons as the differences become very visible. Again, it is best to use various distinct examples of box and whisker plots and identify the quartiles with students before they do it on their own.

The interquartile range is the difference of the third quartile and the first quartile, hence it is the length of the box-and-whisker plot. From this, plots A, B and D have the same interquartile range of 4.

Description: Two sets of two box plots from 2 to 10 by 2's. Top set labeled head length in inches. Bottom set labeled head width in inches. Top set, top box plot labeled male bears. Whisker from 9 to 12 point 5. Box from 12 point 5 to 15 point 5 with vertical line at 13 point 5. Whisker from 15 point 5 to 18 point 5. Bottom box plot labeled female bears. Whisker from 10 to 12. Box from 12 to 13 point 5 with vertical line at 12 point 5. Whisker from 13 point 5 to 15 point 5. Bottom set, top box plot labeled male bears. Whisker from 4 to 5 point 5. Box from 5 point 5 to 8 with vertical line 6 point 5. Whisker from 8 to 10. Bottom box plot whisker from 4 point 5 to 5. Box from 5 to 6 point 5 with vertical line at 6. Whisker from 6 point 5 to 7 point 5.