multilevel assessment
This is a math "pretest" designed to be similar to a Math GED Ready. This is an overall review to assess a student's mathematical reasoning skills.

Algebra
 Level A https://www.vaccrsframeworks.org/math/algebraicthinkinglevela/
 Level B https://www.vaccrsframeworks.org/math/algebraicthinkinglevelb/
 Level C https://www.vaccrsframeworks.org/math/algebraicthinkinglevelc/
 Level D https://www.vaccrsframeworks.org/math/algebraicthinkingleveld/
 Level E https://www.vaccrsframeworks.org/math/algebraicthinkinglevele/

Geometry
 Level A https://www.vaccrsframeworks.org/math/geometrylevela/
 Level B https://www.vaccrsframeworks.org/math/geometrylevelb/
 Level C https://www.vaccrsframeworks.org/math/geometrylevelc/
 Level D https://www.vaccrsframeworks.org/math/geometryleveld/
 Level E https://www.vaccrsframeworks.org/math/geometrylevele/

Measurement and Data
 Level A https://www.vaccrsframeworks.org/math/measurementanddatalevela/
 Level B https://www.vaccrsframeworks.org/math/measurementanddatalevelb/
 Level C https://www.vaccrsframeworks.org/math/measurementanddatalevelc/
 Level D https://www.vaccrsframeworks.org/math/measurementanddataleveld/
 Level E https://www.vaccrsframeworks.org/math/measurementanddatalevele/

Number Sense
 Level A https://www.vaccrsframeworks.org/math/numbersenselevela/
 Level B https://www.vaccrsframeworks.org/math/numbersenselevelb/
 Level C https://www.vaccrsframeworks.org/math/numbersenselevelc/
 Level D https://www.vaccrsframeworks.org/math/numbersenseleveld/
 Level E https://www.vaccrsframeworks.org/math/numbersenselevele/
Measurement and Data Level E
 Mastery of Level D
 Representing Data
Students will be able to: Represent data by plotting it on a number line
 Summarize numerical data by the number of observations, how it was
measured, and units of measure; identify mean, median, mode and
patterns within data; by explaining variability within a data set; and by
explaining how the choice of central measure affects the shape of the distribution
 Interpreting Categorical and Quantitative Data
Students will be able to: Account for the effects of outliers in a data set
 Summarize, represent, and interpret data on two variables
 Recognize associations and trends in the bivariate data
 Interpret linear models of data, applying understanding of slope and
intercept in reference to statistical data  E. Recognize the difference between correlation and causation