I can calculate early performance statistics and use them to decide whether a revision improves consistency.
Mission Testing, Data Collection, and Iteration
Focus question: How can early repeated-trial data guide a controlled revision without invalidating the investigation?
Today’s Plan
A focused sequence that advances the mission-performance investigation.
What You Will Be Able to Do
Official test data and iteration record
The team changes one justified factor, documents the revision, and compares before-and-after data fairly.
How the Lesson Moves
Each step builds the data, motion, or testing reasoning required for today’s deliverable.
1. Collect baseline trials
Use the approved setup and record observations immediately.
2. Analyze early variation
Calculate mean and range and inspect unusual trials.
3. Make one controlled revision
Document the change and repeat under equivalent conditions.
Evaluate the Controlled Revision
Apply the lesson concept to a mission-performance scenario. Use the feedback to correct your reasoning before completing the main deliverable.
Target: 5.0 m
Baseline ranges (m)Main Deliverable
Official test data and iteration record
Create one focused engineering artifact that demonstrates today’s learning.
- Submit complete baseline and revised trial tables with units and observations.
- Explain the revision using a before-and-after statistical comparison.
Mission Debrief
State the most important data-analysis or motion concept from today in your own words.
Name the measurement, calculation, graph feature, or test decision that supports your conclusion.
Identify one uncertainty, limitation, or next test that would strengthen the evidence.
Lesson Resources
Lesson 4.17 PowerPoint
Use the presentation to review the lesson concepts, examples, and activity directions.
Principles of Engineering
Return to the POE course hub for units, resources, certifications, and course information.
Mission Data Investigation
Use the integrated investigation context when connecting trial design, statistics, kinematics, graphs, and recommendations.
