Computers & Digital Literacy · Grade 12
Analyze Data and Communicate Uncertainty
Learners find out why estimates from samples wobble, separate chance variation from bias, and use the approximation 'margin of error is about 1/√n' to turn a sample share into an honest interval. They compare groups with intervals and error bars, learn why 'no evidence of a difference' is not 'evidence of no difference', and rewrite headlines and charts so the precision of the words matches the precision of the data. A bike-share survey runs through the course, and a sampling simulation makes the variation visible.
- 4 lessons
- About 115 minutes
- Uncertainty check: 10 questions
- Ways to answer: fill in the blanks, choose an answer, trace code, highlight a text, match pairs and type a number
What learners will discover
- Explain why estimates from random samples vary, distinguish chance variation from bias, and relate sample size to precision.
- Estimate the margin of error for a proportion with the approximation 1/√n (roughly 95% confidence), state what it assumes and leaves out, and report results as intervals.
- Compare groups using intervals and error bars, distinguishing 'no evidence of a difference' from 'evidence of no difference'.
- Communicate uncertainty honestly: round to the precision the data support, give counts, sample sizes and ranges, and choose verbs and chart designs that do not overclaim.
Lessons
-
Variability: why estimates wobble 7 steps4 practiceabout 27 min
-
Margin of error and intervals 7 steps5 practiceabout 30 min
-
Comparing groups: error bars and overlap 6 steps4 practiceabout 28 min
-
Honest numbers in headlines and charts 6 steps3 practiceabout 27 min
-
Uncertainty check 10 questions at the end
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