I can select a graph type, assign variables to axes, and write a claim supported by the displayed data.
Data Displays and Engineering Claims
Focus question: How can the choice of graph strengthen—or weaken—an engineering claim?
Today’s Plan
A focused sequence that advances the mission-performance investigation.
What You Will Be Able to Do
Graph and claim-evidence-reasoning response
The display matches the data type, axes are labeled with variables and units, and the claim is appropriately qualified.
How the Lesson Moves
Each step builds the data, motion, or testing reasoning required for today’s deliverable.
1. Match graph to question
Decide whether the task compares categories, change over time, or two numerical variables.
2. Build the display
Place the independent variable on x and the response on y.
3. Write the claim
Reference a visible pattern without extending beyond the tested data.
Plan the Graph and Claim
Apply the lesson concept to a mission-performance scenario. Use the feedback to correct your reasoning before completing the main deliverable.
Investigation
Teams tested launch angles of 20°, 30°, 40°, 50°, and 60° and measured horizontal range in meters.
Main Deliverable
Graph and claim-evidence-reasoning response
Create one focused engineering artifact that demonstrates today’s learning.
- Create a correctly labeled graph using the assigned dataset.
- Write a claim-evidence-reasoning paragraph tied directly to the graph.
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 4.7 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.
