Description
Quick guided notes on the box plot.
Goes over the 6 keywords (minimum, maximum, lower quartile, upper quartile, median, and Interquartile Range) and where they are represented on the box plot.
There is a back side that students can use to practice creating a box plot using class data or data that the teacher gives the students.
Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.
Highlights
Digital downloads
Grades
6th - 8th
Subjects
Standards
CCSS6.SP.B.5c
CCSS6.SP.B.5d
Pages
2
Description
Quick guided notes on the box plot.
Goes over the 6 keywords (minimum, maximum, lower quartile, upper quartile, median, and Interquartile Range) and where they are represented on the box plot.
There is a back side that students can use to practice creating a box plot using class data or data that the teacher gives the students.
Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.
Reviews
All verified TPT purchases
These guided notes were exactly what my students needed to understand box plots. The layout was clean, clear, and walked them through each step of creating and interpreting box plots using real data. My SPED students especially benefited from the structured format and visual examples—it helped them grasp quartiles and the five number summary with much more confidence. A great resource for both introducing and reinforcing this concept. I’ll definitely use it again next year!
Questions & Answers
Loading
Standards
to see state-specific standards (only available in the US).
CCSS6.SP.B.5c
Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
CCSS6.SP.B.5d
Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.
Loading

