iRubric: Unit 1 Exam Dealing with Data rubric

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Unit 1 Exam Dealing with Data

M7D1.c. Analyze data using measures of central tendency (mean, median, and mode), including recognition of outliers. M7D1.d. Analyze data with respect to measures of variation (range, quartiles, interquartile range). M7D1.f. Analyze data using appropriate graphs, including pictographs, histograms, bar graphs, line graphs, circle graphs, and line plots introduced earlier, and using box and- whisker plots and scatter plots. M7D1.g. Analyze and draw conclusions about data, including describing therelationship between two variables.

Rubric Code: G69C6C

By LindaGould

Ready to use

Public Rubric

Subject: Math

Type: Assessment

Grade Levels: 6-8

Dealing with Data Exam
	Poor 0 pts	Fair 1 pts	Good 2 pts	Exceptional 4 pts
Box and whisker plot of data	Poor Incorrect data is used in construction of the box and whisker plots, graph is consructed incorrectly, no demonstration of understanding of box and whisker plots	Fair Number line and one box and whisker plot is correctly correctly constructed.	Good Number line and both box and whisker plots are correctly constructed, but no comparison of data is made.	Exceptional Comparison of data is made by accurate construction of double box and whisker plot.
Mesures of Central Tendancy	Poor 2 or more components missing or incorrect computation for measures of central tendancy.	Fair 1 component missing, but other data is correct.	Good All 3 measures are present and mostly correct for the data collected.	Exceptional All 3 measures are present and correct for the data collected.
Scatterplot	Poor Scatterplot is not present.	Fair 3 or more components are missing or incorrect.	Good 1 or 2 components are missing or incorrect.	Exceptional Scatterplot accurately reflects frequency table with all components correctly identified and labeled.
Answers to questions.	Poor No answers were attempted.	Fair 3 or more answers are incorrect.	Good 1 or 2 answers are incorrect.	Exceptional All answers are correct.
Neatness	Poor 4 or more components are not met.	Fair 2-3 components are not met.	Good 1 component is not met.	Exceptional All components are present.