Investigate the question, “How can you turn personal or community data about social media use into a clear argument about its effects on mental health?” Launch as a data detective by examining charts, headlines, and posts, then analyze a provided randomized-experiment dataset using plots, outliers, simulations, p-values, and effect size to judge statistical and practical significance. Create and revise a one-page data story that pairs a graph with an evidence-based claim while practicing ethical information use, respectful communication, and awareness of varied lived experiences. Rehearse with a peer, then share your original thinking, final claim, and reflection in a Before-and-After Spotlight with a parent, caregiver, or community youth advocate who provides feedback on clarity and relevance.

You will investigate: How can you turn personal or community data about social media use into a clear argument about its effects on mental health? You will create and interpret dot plots, histograms, or box plots; compare shape, center, spread, and outliers; and use anonymized randomized-experiment data and simulations to assess statistical significance, p-values, practical significance, and effect size. You will evaluate whether headlines, posts, and reports distinguish evidence from opinion, represent data accurately, and support safe, ethical, and culturally responsive digital communication. You will produce, rehearse, revise, and present a one-page data story that explains your claim, graph, evidence, and changed thinking, using feedback from a partner and a parent, caregiver, or community youth advocate.

Create a Data Detective log that records patterns in charts, headlines, and example posts, distinguishes evidence from opinion, and identifies your investigation question. Build a simple dot plot, histogram, or box plot of ethical, anonymous data, then add a brief randomized-treatment simulation comparing two social media conditions using a p-value, effect size, and notes on shape, center, spread, and outliers. Produce a one-page data story combining your graph, evidence-based claim, evaluation of the data source, and before-and-after reflection. Revise it after a partner rehearsal, then present your original idea, final claim, and changed thinking in a Before-and-After Spotlight and collect clarity and relevance feedback from a parent, caregiver, or community youth advocate.

Begin with a Data Detective Launch by inspecting anonymized charts, headlines, and example posts about social media use and mental health. Mark each statement as evidence or opinion, identify patterns and outliers, and check whether each claim matches the graph’s shape, center, and spread. Record your initial answer to “How can you turn personal or community data about social media use into a clear argument about its effects on mental health?” and choose one focused question to investigate without sharing private mental health information.

Rehearse your Before-and-After Spotlight with a peer, using their questions to refine your graph, evidence, and final claim. Share your one-page data story with a parent, caregiver, or community youth advocate, explaining your original idea, final claim, and how your thinking changed. Highlight patterns, outliers, and any statistical and practical significance while distinguishing evidence from opinion. Invite your feedback partner to comment on the argument’s clarity, relevance, and connection to lived experience, then record one final revision or takeaway.