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How to fill out the Interpreting Box-and-Whisker Plots Worksheet online
This guide will assist users in effectively completing the Interpreting Box-and-Whisker Plots Worksheet online. The worksheet is designed to help users analyze and interpret data presented in box-and-whisker plots, an essential skill in data analysis.
Follow the steps to complete the worksheet accurately.
- Click 'Get Form' button to obtain the form and open it in the online editor.
- Begin by filling out the labeled table for Milwaukee. You will need to enter data for the minimum, maximum, median, lower quartile, upper quartile, and interquartile range based on the box-and-whisker plot provided.
- Proceed to questions 2 through 6, which are based on the first box-and-whisker plot regarding a math test. Provide answers to the high score, percent of students scoring above a certain mark, median score, percent of students scoring within a range, and a reflective question about the test’s difficulty.
- For questions 7 through 13, use the second box-and-whisker plot related to time spent on homework. Input your answers regarding percentages of students spending a certain amount of time, range of time for the middle 50% of students, and true/false statements about homework behaviors.
- In questions 14 through 22, refer to the comparison graphs for homework time and TV time. Answer questions regarding percentages of students watching TV, upper quartile of TV data, and evaluate statements as true, false or indeterminate.
- Complete the extra credit section, addressing questions about ratios and comparisons between students' TV and homework times.
- Once all fields and questions are completed, review your answers for accuracy before proceeding to save your changes, download, or print the form.
Now that you have the guidance, complete your Interpreting Box-and-Whisker Plots Worksheet online efficiently.
Boxplots are a standardized way of displaying the distribution of data based on a five number summary (“minimum”, first quartile (Q1), median, third quartile (Q3), and “maximum”). This type of plot is used to easily detect outliers.
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