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Understanding and Interpreting Box-and-Whisker Plots for Data Analysis

This resource will guide you in representing and reading data using box-and-whisker plots. You’ll learn to interpret extreme values along with quartiles and interquartile ranges of a dataset. Discover how to identify the effects of outliers on quartiles and gain skills in creating box-and-whisker plots. You'll practice with examples like Ladybird Beetles and Statewide Butterfly Distribution, pinpointing extremes, median, upper quartile, and lower quartile. Enhance your data visualization skills with this step-by-step approach.

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Understanding and Interpreting Box-and-Whisker Plots for Data Analysis

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Presentation Transcript

  1. 13.4 Box-and-whisker plots SWBAT represent and read data on a box-and-whisker plot SWBAT interpret extreme, quartiles, and interquartile ranges of a data set SWBAT identify and interpret the effect of outliers on quartiles

  2. Box-and-whisker plot: a graph that focuses on extreme values and median values to show data distributions • Quartiles: median values; separate the data into 4 groups • Lower Quartile: the median of the lower half of the data • Upper Quartile: the median of the upper half of the data Vocabulary

  3. Make a box-and-whisker plot and identify the extremes, median, upper quartile, and lower quartile

  4. Ladybird Beetles

  5. Make a box-and-whisker plot and identify the extremes, median, upper quartile, and lower quartile

  6. Statewide Butterfly Distribution

  7. Make a box-and-whisker plot and identify the extremes, median, upper quartile, and lower quartile

  8. Make a box-and-whisker plot and identify the extremes, median, upper quartile, and lower quartile

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