Cluster: Summarize, represent, and interpret data on a single count or measurement variable

Standard: Represent data with plots on the real number line (dot plots, histograms, and box plots).*

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize, represent, and interpret data on a single count or measurement variable

Standard: 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.*

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize, represent, and interpret data on a single count or measurement variable

Standard: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).*

Degree of Alignment:
Not Rated
(0 users)

Cluster: Summarize, represent, and interpret data on two categorical and quantitative variables

Standard: Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.*

Degree of Alignment:
Not Rated
(0 users)

Cluster: Interpret linear models

Standard: Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.*

Degree of Alignment:
Not Rated
(0 users)

Cluster: Interpret linear models

Standard: Compute (using technology) and interpret the correlation coefficient of a linear fit.*

Degree of Alignment:
Not Rated
(0 users)

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