Florida B.E.S.T. MA.912.DP.5.11
The Standard
Evaluate reports based on data from diverse media, print and digital resources by interpreting graphs and tables; evaluating data-based arguments; determining whether a valid sampling method was used; or interpreting provided statistics.
Florida B.E.S.T. Standards for Mathematics
Teacher's field guide
What This Standard Means
What Students Need to Do
- Students read graphs, tables, and statistics from print and digital reports. They judge whether the sampling method is valid and whether the data supports the stated claim.
What Mastery Looks Like
- Students accurately read values, trends, and comparisons in tables and graphs. They identify biased or valid samples and explain whether the evidence supports the report’s claim. They also interpret statistics in context.
Common Misconceptions
- Students may assume a large sample is automatically representative, even when selection is biased. They may trust polished graphs without checking scales, labels, or omitted data. They may also treat correlation as proof of cause.
How to Assess It
- Give this exit ticket: “A fitness website asks 10 visitors whether they exercise daily. Eight say yes, so the site claims 80% of teens exercise daily.” Ask students to evaluate the claim, statistic, and sample.
Lesson moves
Ways to Teach It
Give pairs printed reports and highlighters to mark the claim, supporting data, sample, and any missing information.
Project two headlines based on the same graph and ask students to write which headline is better supported and why.
Play Sample or Scam by having teams classify survey cards as random, convenience, voluntary response, or biased.
Have students bring a graph from news or social media and annotate its source, sample, statistics, and supported conclusions.
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Printable MA.912.DP.5.11 Worksheet
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Related Standards
- MA.912.DP.5
Determine methods of data collection and make inferences from collected data.
- MA.5.DP.1
Collect, represent and interpret data and find the mean, mode, median or range of a data set.
- MA.3.DP.1
Collect, represent and interpret numerical and categorical data.
- MA.7.DP.1
Represent and interpret numerical and categorical data.
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