Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data
Standard: Represent data with plots on the real number line (dot plots, histograms, and box plots).*
Degree of Alignment:
Not Rated
(0 users)
Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data
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)
Learning Domain: Statistics and Probability: Interpreting Categorical and Quantitative Data
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 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:
3 Superior
(1 user)
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:
3 Superior
(1 user)
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:
3 Superior
(1 user)
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