9th, 10th, 11th, 12th Grades
Project
3 weeks
Quality Quest: Unraveling the Data Mysteries!
1-pager
Purpose
This project immerses students in the practical application of quality control tools and statistical process control techniques, fostering a deeper understanding of how these methods maintain and improve production standards. Through hands-on activities and real-world scenarios, students will actively construct, analyze, and interpret data using various quality tools, such as control charts and cause and effect diagrams. By collaborating with industry experts and engaging in reflective practices, students will connect their academic learning to real-world applications, enhancing their problem-solving skills and preparing them for future challenges in quality assurance fields.
Learning goals
Students will develop a comprehensive understanding of quality control tools and their applications, including constructing and interpreting X-Bar and R Charts, histograms, and Pareto charts. They will learn to identify and analyze special cause patterns in control charts to maintain and improve production quality. Through collaboration with industry experts, students will apply statistical process control techniques to real-world scenarios, enhancing their problem-solving and analytical skills. The project will culminate in students effectively communicating their findings and insights through public presentations and workshops, demonstrating their ability to connect academic concepts to practical applications.
Standards
- Common Core - CCSS.MATH.CONTENT.HSS.ID.A.1: Represent data with plots on the real number line (dot plots, histograms, and box plots).
- Common Core - CCSS.MATH.CONTENT.HSS.IC.B.6: Evaluate reports based on data.
- NGSS - HS-ETS1-2: Design a solution to a complex real-world problem by breaking it down into smaller, more manageable problems that can be solved through engineering.
Products
Students will produce a series of educational videos demonstrating the use of quality tools like histograms and Pareto charts, which will be featured in a public exhibition. They will also design and build a mini-production line model to apply control charts, showcasing their ability to monitor and enhance product quality. This model will be presented to community partners as a demonstration of their skills.
Launch
Begin the project with a dynamic 'Statistical Sleuth Challenge', where students collaborate in teams to solve a mystery using statistical process control techniques. This engaging activity encourages students to apply their knowledge of quality tools, such as control charts and Pareto charts, in a real-world context. Culminate the launch with a group presentation, where students share their findings and strategies, setting the stage for deeper exploration and learning throughout the project.
Exhibition
Students will host a 'Control Chart Gallery Walk' where they display their X-Bar and R Charts, inviting visitors to engage with their analyses and findings. Additionally, they will lead a 'Root Cause Analysis Workshop,' conducting hands-on activities to teach attendees how to perform root cause analysis with real-world scenarios. This exhibition will allow students to demonstrate their understanding and application of quality control tools, fostering interaction with community partners and showcasing their learning journey.
Plan
| Week 1 | Day 1 | Day 2 | Day 3 | Day 4 | Day 5 |
|---|---|---|---|---|---|
| Activities |
Project Kickoff: Statistical Sleuth Challenge - Collaborate in teams to solve a mystery using statistical process control techniques, applying knowledge of quality tools like control charts and Pareto charts (45 min)
|
Pareto Puzzle Day - Work in small groups to solve complex puzzles using Pareto charts and discuss strategies with community partners (30 min)
Reflection Session - Discuss learnings from Pareto Puzzle Day and connect experiences to real-world applications (15 min)
|
Histogram Hackathon - Participate in a timed challenge to construct and interpret histograms, focusing on real-world applications (30 min)
Essential Question Exploration - Begin exploring how control charts help in maintaining quality standards and identifying issues (15 min)
|
Introduction to Root Cause Analysis - Learn the function and process of performing root cause analysis to address quality issues (30 min)
Hands-On Activity: Cause and Effect Diagrams - Construct and interpret three types of cause and effect diagrams (15 min)
|
Hands-On Workshop: Quality Tools - Build and interpret various quality tools like Pareto charts and cause and effect diagrams, presenting findings (30 min)
Reflective Feedback Circle - Share challenges and successes with peers to refine approaches based on collective insights (15 min)
|
| Deliverables |
1. Group presentation from the Statistical Sleuth Challenge showcasing findings and strategies.
2. Constructed histograms and Pareto charts with accompanying data interpretation analyses. |
||||
| Preparation |
1. Gather sample data sets for students to use in constructing histograms and Pareto charts.
2. Prepare materials for the Statistical Sleuth Challenge, including scenarios and statistical process control tools. 3. Arrange for industry experts to participate in the feedback circle, providing insights and guidance. 4. Set up collaborative spaces for group work and provide necessary resources such as chart paper, markers, and rulers. |
||||
| Week 2 | Day 6 | Day 7 | Day 8 | Day 9 | Day 10 |
|---|---|---|---|---|---|
| Activities |
Exploration of Statistical Measures - Investigate central tendency and three statistical measures through hands-on data analysis (25 min)
Histogram Application Workshop - Construct and interpret histograms using real-world data, focusing on practical applications (20 min)
|
Control Chart Introduction - Explore the function and types of control charts, emphasizing their role in quality management (30 min)
Hands-On Activity: X-Bar and R Charts - Create X-Bar and R Charts using sample data, identifying special cause patterns (15 min)
|
Simulation Exercise: Statistical Process Control - Apply techniques to a real-world scenario, recording data on control charts (25 min)
Peer Review Session - Present findings from the simulation and receive feedback from peers and community partners (20 min)
|
Analysis of Special Cause Patterns - Deep dive into identifying and analyzing special cause control chart patterns (30 min)
Mini-Production Line Design - Begin designing and building a model to apply control charts for monitoring quality (15 min)
|
Constructive Critique and Revision - Engage in a reflective feedback circle to refine approaches based on insights (15 min)
Collaborative Video Production - Develop educational videos demonstrating the use of quality tools for public exhibition (30 min)
|
| Deliverables |
1. Completed cause and effect diagrams and Pareto charts with group presentations.
2. X-Bar and R Charts with identified special cause patterns. 3. Data analysis report on the mini-production line, highlighting patterns and suggested improvements. |
||||
| Preparation |
1. Obtain sample data sets for students to use in constructing quality tools.
2. Prepare materials for constructing X-Bar and R Charts (graph paper, markers, rulers). 3. Set up the mini-production line model with necessary materials (e.g., assembly items, measurement tools). 4. Organize resources for students to access examples of special cause patterns in control charts. 5. Prepare a structured format for the feedback circle, including guiding questions and reflection prompts. |
||||
| Week 3 | Day 11 | Day 12 | Day 13 | Day 14 | Day 15 |
|---|---|---|---|---|---|
| Activities |
Finalizing Mini-Production Line - Complete the design and construction of the mini-production line model, ensuring functionality for control chart application (30 min)
Control Chart Application - Apply control charts to the mini-production line to monitor and record quality metrics, identifying any special cause patterns (15 min)
|
Peer Review and Refinement - Conduct a peer review session to share control chart analyses and receive feedback for improvement (20 min)
Video Script Drafting - Begin drafting scripts for educational videos, focusing on clear explanations of quality tools and their applications (25 min)
|
Educational Video Production - Record and edit educational videos demonstrating the use of quality tools, ensuring clarity and engagement for the public exhibition (45 min)
|
Exhibition Preparation - Organize and set up displays for the Control Chart Gallery Walk, ensuring all charts and analyses are clearly presented (25 min)
Root Cause Analysis Workshop Planning - Finalize the structure and materials for the Root Cause Analysis Workshop, assigning student roles for facilitating sessions (20 min)
|
Control Chart Gallery Walk - Host the gallery walk, engaging visitors with student analyses and findings on X-Bar and R Charts (20 min)
Root Cause Analysis Workshop - Lead the workshop, guiding participants through hands-on activities and real-world scenario analyses (25 min)
|
| Deliverables |
1. Finalized educational videos ready for public exhibition
2. Operational mini-production line models for demonstration 3. Completed X-Bar and R charts with analyses for gallery walk 4. Root cause analysis workshop facilitation plan 5. Reflection panel discussion participation |
||||
| Preparation |
1. Ensure access to video editing software and tools for finalizing educational videos
2. Provide materials and resources needed to set up and test mini-production line models 3. Organize space and resources for the Control Chart Gallery Walk, including display boards and charts 4. Prepare workshop materials for root cause analysis activities, including scenario examples and instructions 5. Coordinate schedules and logistics for the reflection panel discussion with community partners |
||||