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iRubric: Statistics Project rubric

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Statistics Project 
Rubric Code: S8395C
Ready to use
Public Rubric
Subject: Math  
Type: Project  
Grade Levels: 6-8

Powered by iRubric Statistics Project
  Poor

1 pts

Fair

2 pts

Good

3 pts

Excellent

4 pts

Interpreting Data

Poor

Does not properly represent data with plots on the real number line (dot plots, histograms, and box plots) accurately (has 3 more mistakes)
Fair

Represents data with plots on the real number line (dot plots, histograms, and box plots) accurately with 3 or more mistakes
Good

Represents data with plots on the real number line (dot plots, histograms, and box plots) accurately with 1-2 mistakes
Excellent

Represents data with plots on the real number line (dot plots, histograms, and box plots) accurately
Creating Normal Distribution

Poor

Did not use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages properly. Could not recognize that there are data sets for which such a procedure is not appropriate. Calculations were inaccurate
Fair

Used the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognized that there are data sets for which such a procedure is not appropriate. 3 or more calculation errors
Good

Used the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognized that there are data sets for which such a procedure is not appropriate. 1-2 calculation errors
Excellent

Used the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognized that there are data sets for which such a procedure is not appropriate. No calculation errors
Summarize

Poor

Did not summarize categorical data for two categories in two-way frequency tables. Unable to interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Could not recognize possible associations and trends in the data.
Fair

Summarize categorical data for two categories in two-way frequency tables with only 2-3 mistakes. Interpretted relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies) with 3 or more mistakes. Could somewhat recognize possible associations and trends in the data.
Good

Summarize categorical data for two categories in two-way frequency tables with only 2-3 mistakes. Interpretted relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies) with only 2-3 mistakes. Could recognize possible associations and trends in the data.
Excellent

Summarized categorical data for two categories in two-way frequency tables accurately. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Could recognize possible associations and trends in the data.
Interpret Slope

Poor

Did not interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
Fair

Interpreted the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data but had 3 or more errors.
Good

Interpreted the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data with minimal error.
Excellent

Interpreted the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
Compute

Poor

Computed (using technology) and interpreted inaccurately the correlation coefficient of a linear fit.
Fair

Computed (using technology) and interpreted the correlation coefficient of a linear fit with only 2-3 errors.
Good

Computed (using technology) and interpreted the correlation coefficient of a linear fit with minimal error.
Excellent

Computed (using technology) and interpreted the correlation coefficient of a linear fit accurately.
Distinguish

Poor

Distinguished between correlation and causation inaccurately.
Fair

Distinguished between correlation and causation with only 2-3.
Good

Distinguished between correlation and causation with minimal error.
Excellent

Distinguish between correlation and causation accurately.
Technology

Poor

Student does not select correct application and/or use of the application was ineffective.
Fair

Student selects and use applications effectively and productively with only 2-3.
Good

Student selects and use applications effectively and productively with minimal errors.
Excellent

Student selects and use applications effectively and productively accurately
Presentation

Poor

Student processes data and reports results inaccurately.
Fair

Student processes data and reports results with only 2-3.
Good

Student processes data and reports results with minimal errors.
Excellent

Student processes data and reports results accurately with no errors.
Self-Assessment

Poor

Student played little or no role in group participation.
Fair

Student participated but did not do his/her component with only 2-3 errors.
Good

Student participated but did not do his/her component effectively.
Excellent

Student actively participated in group project and performed his/her role effectively.




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