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Colorado
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HS.S-IC.B.5 - Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.
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- I can name a question about social media use and mental health, but I may need help choosing relevant data, distinguishing evidence from opinion, and deciding whether a simple graph matches the claim
- I can describe a basic comparison between two treatments or groups, but my explanation of shape, center, spread, outliers, p-values, and effect size is limited or incomplete.
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- I can create and interpret a simple dot plot, histogram, or box plot from anonymous data and use it to make a claim about social media and mental health
- I can compare two treatments with a simulation, identify whether a difference seems statistically significant, and explain my thinking with some support from evidence, though I may miss important details about outliers, practical significance, or source credibility.
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- I can use anonymous data to build a clear graph, compare two treatments with a simulation, and explain whether the results are statistically significant using a p-value and practically meaningful using effect size
- I can evaluate headlines, posts, or reports for evidence versus opinion, connect shape, center, spread, and outliers to my claim, and revise my one-page data story based on peer or community feedback.
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- I can independently analyze and communicate randomized-experiment results by using a simulation, p-value, and effect size to make a strong, evidence-based claim about social media and mental health
- I can accurately interpret graphs in context, account for outliers, critique the quality and ethics of data-based messages, and present a polished one-page data story and Before-and-After Spotlight that clearly shows how my thinking changed and responds thoughtfully to feedback from a parent, caregiver, or community youth advocate.
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Colorado
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HS.S-IC.B.6 - Evaluate reports based on data. Define and explain the meaning of significance, both statistical (using p-values) and practical (using effect size).
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- I can identify whether a headline, post, chart, or report about social media and mental health is mostly evidence or opinion, but I need help explaining what the data show and whether the claim is supported
- I can describe a simple graph using a few correct terms, yet I may not clearly connect shape, center, spread, outliers, p-values, or effect size to the claim.
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- I can evaluate a data-based report by explaining some differences in the graph’s shape, center, spread, or outliers and by describing whether the claim is partly supported by the evidence
- I can use a p-value or an effect size in a basic way, but my explanation may be incomplete or only loosely connected to whether the difference is statistically and practically significant.
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- I can evaluate a report based on data by clearly comparing two social media conditions, using a graph and a simulation result to decide whether the difference is statistically significant
- I can explain what the p-value and effect size mean in context, describe shape, center, spread, and outliers, and use evidence from the data to support a clear claim about social media and mental health.
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- I can evaluate and improve a data-based report by using graph features, simulation results, p-values, and effect size to make a precise, evidence-based claim about social media and mental health
- I can explain why the difference is or is not statistically and practically significant, distinguish evidence from opinion, and communicate my reasoning clearly in a polished data story that reflects feedback and respects diverse lived experiences.
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Colorado
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CS.HS.6.1 - Digital citizenship involves multiple practices intended to promote safety, well-being respectful discourse, ethical use of information, and positive relationships.
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- I can identify whether a headline, post, or chart about social media and mental health is evidence or opinion, and I can name a simple pattern in a graph with help
- I can share my ideas respectfully, use provided anonymous data safely, and begin a one-sentence claim that is not yet fully supported by the evidence.
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- I can describe patterns in a dot plot, histogram, or box plot and point out basic shape, center, spread, or an outlier in context
- I can use evidence from charts, headlines, and example posts to make a clearer claim about social media and mental health, though I may need support to explain why the evidence is strong or weak.
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- I can compare two data sets from an anonymized randomized experiment, use a simulation or p-value to judge whether a difference is likely significant, and explain practical significance with some accuracy
- I can evaluate a report or post for whether it matches the data, revise my claim using feedback, and communicate my thinking clearly in a one-page data story and rehearsal with a partner.
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- I can independently analyze data from social media and mental health with a graph that shows shape, center, spread, and outliers, and I can explain how the evidence supports or challenges a claim
- I can use simulation results, p-values, and effect size to distinguish statistical and practical significance, evaluate the trustworthiness of messages and sources, and present a respectful, culturally aware data story that clearly shows how my thinking changed after feedback from others.
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Colorado
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HS.S-ID.A.3 - Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
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- I can identify a simple graph of social media and mental health data and name a few obvious features, such as where most values are, how spread out they are, and whether there may be an outlier
- I can use evidence from charts, headlines, or posts to make a basic claim, even if I still need help explaining how the data support it or separating evidence from opinion.
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- I can interpret a dot plot, histogram, or box plot in context by describing differences in center, spread, shape, and possible outliers for social media and mental health data
- I can distinguish evidence from opinion in example posts or headlines and use mostly relevant data to support a claim that is understandable to others.
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- I can compare two sets of social media and mental health data by explaining how their shape, center, spread, and outliers affect the meaning of the results
- I can connect my graph to a clear, evidence-based claim, explain why the claim fits the data, and use feedback from a partner or community member to revise my thinking and communication.
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- I can analyze and communicate nuanced conclusions about social media and mental health by interpreting shape, center, spread, and outliers in context and explaining how the data strengthen or limit my claim
- I can present a clear, culturally responsive data story that accurately uses evidence, distinguishes statistical and practical meaning when relevant, and incorporates feedback from a parent, caregiver, or community youth advocate to improve clarity, relevance, and respect for lived experience.
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Colorado
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HS.S-ID.A.1 - Model data in context with plots on the real number line (dot plots, histograms, and box plots).
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- I can make a simple dot plot, histogram, or box plot from anonymous social media and mental health data when the data is mostly complete and clearly labeled, even if I need help choosing the best graph and reading the scale
- I can point out obvious patterns in center, spread, and any outliers, but my description may still be general or partially inaccurate, and I may need support to connect the graph to a claim.
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- I can create a correct dot plot, histogram, or box plot for anonymous data and describe how the shape, center, spread, and outliers help me answer my question about social media and mental health
- I can distinguish some evidence from opinion in headlines or posts, and I can begin to explain whether a claim matches the data, though my explanation may not fully use precise statistical language or the strongest details.
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- I can model anonymous social media and mental health data with an accurate graph and use its shape, center, spread, and outliers to make a clear evidence-based claim
- I can explain how the graph supports or challenges a headline or post, use respectful and ethical language, and communicate my reasoning clearly to a peer or feedback partner.
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- I can create and revise a strong dot plot, histogram, or box plot that accurately represents anonymous data and clearly shows meaningful patterns, outliers, and differences in center and spread
- I can use the graph to build a precise, evidence-based argument, compare claims to the data, and communicate my interpretation clearly and respectfully to a parent, caregiver, or community youth advocate while showing how feedback improved my thinking.
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