lesson
Spotting Anomalies in Scientific Data
Identify anomalies or outliers in a data set and explain possible causes for these unexpected results.
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Analysing Data and Evaluating Scientific Claims
8 lessons
Goal
Learners will analyse patterns and relationships in data, identify anomalies and sources of error, and construct evidence-based arguments to evaluate the validity of scientific claims.
8 lessons
0 of 8 done
- Identifying Patterns and Trends in Scientific DataUp next
- Describing Relationships Between Variables in DataNot started yet
- Spotting Anomalies in Scientific DataYou are here
- Identifying Sources of Error in InvestigationsNot started yet
- Analysing Methods and Conclusions for Hidden AssumptionsNot started yet
- Evaluating Claims for Conflicting EvidenceNot started yet
- Using Evidence to Support Scientific ClaimsNot started yet
- Ethical Use of Secondary Data and InformationNot started yet
