Learning Targets
- Organize prototype test data for analysis.
- Create or interpret a graph that communicates system performance.
- Write a conclusion that connects data to success criteria.
Focus question: How can data help engineers decide whether a prototype was successful?
Use this page with the lesson presentation, your engineering notebook, and the tools or evidence assigned for Analyze Performance and Draw Conclusions.
You can analyze prototype data, create a graph, and write a design conclusion supported by evidence.
Connect your response to the decision, evidence, or quality standard required for Analyze Performance and Draw Conclusions.
This lesson is ready to move forward when the evidence meets this standard: The conclusions match the data and distinguish successful performance from uncertainty or failure.
Analysis turns raw measurements into engineering meaning.
Graphs make patterns and comparisons visible.
A design conclusion should say what the data support and what remains uncertain.
Use graphs and summary statistics to evaluate the prototype against its success criteria.
Quality check: The conclusions match the data and distinguish successful performance from uncertainty or failure.
Turn test results into a claim that is limited to what the data actually shows.
1.8, 1.7, 1.9, 1.6, 1.7 seconds
Requirement: mean deployment time below 2.0 seconds.
Submission standard: The conclusions match the data and distinguish successful performance from uncertainty or failure.
Use the lesson slides for guided practice, interactive checks, and the exit ticket.
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