Standards: Interpreting Categorical & Quantitative Data
Represent data with plots on the real number line (dot plots, histograms, and box plots).
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
Review of Work Samples
Focus on knowing how to create a box & whisker plot and how to interpret the data. For example, describe where 25%, 50% and 75% of the data is found and what that means in the context of the problem.
https://asq.org/quality-resources/box-whisker-plot
https://www150.statcan.gc.ca/n1/edu/power-pouvoir/ch12/5214889-eng.htm
https://www.youtube.com/watch?v=Ive6_u1-b8o
https://www.youtube.com/watch?v=GMb6HaLXmjY
http://web.mnstate.edu/peil/MDEV102/U4/S36/S36_print.html
https://virtualnerd.com/middle-math/probability-statistics/measures-variation/practice-box-whisker
Practice:
https://www.ixl.com/math/algebra-1/interpret-box-and-whisker-plots
https://mathbitsnotebook.com/Algebra1/StatisticsData/STboxPractice.html
(printable)
https://www.onlinemathlearning.com/box-plot.html
https://www.playfactile.com/meanmedianmodeboxandwhisker/play (game)
Comparing two Box & Whisker plots:
https://socratic.org/questions/how-would-you-compare-two-box-and-whisker-plots
https://www.youtube.com/watch?v=mdXEmfeI0Wg
https://www.youtube.com/watch?v=Hm6Mra5XJSs