Cluster: Reason quantitatively and use units to solve problems

Standard: Define appropriate quantities for the purpose of descriptive modeling.*

Degree of Alignment:
Not Rated
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Cluster: Reason quantitatively and use units to solve problems

Standard: Choose a level of accuracy appropriate to limitations on measurement when reporting quantities.*

Degree of Alignment:
Not Rated
(0 users)

Cluster: Apply geometric concepts in modeling situations

Standard: Use geometric shapes, their measures, and their properties to describe objects (e.g., modeling a tree trunk or a human torso as a cylinder).*

Degree of Alignment:
Not Rated
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Cluster: Apply geometric concepts in modeling situations

Standard: Apply geometric methods to solve design problems (e.g., designing an object or structure to satisfy physical constraints or minimize cost; working with typographic grid systems based on ratios).*

Degree of Alignment:
Not Rated
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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
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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
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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
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Cluster: Understand and evaluate random processes underlying statistical experiments

Standard: Understand statistics as a process for making inferences about population parameters based on a random sample from that population.*

Degree of Alignment:
Not Rated
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Cluster: Understand and evaluate random processes underlying statistical experiments

Standard: Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. For example, a model says a spinning coin falls heads up with probability 0. 5. Would a result of 5 tails in a row cause you to question the model?*

Degree of Alignment:
Not Rated
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Cluster: Use probability to evaluate outcomes of decisions

Standard: (+) Use probability to evaluate outcomes of decisions. Use probabilities to make fair decisions (e.g., drawing by lots, using a random number generator).*

Degree of Alignment:
Not Rated
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I found a great video from PBS and National Geographic to introduce the topic.

https://www.youtube.com/watch?v=ieB3ukWB3tQ