Graph draft
Build a clear data table and draft a graph that represents your environmental data accurately.
Clean labeled data table plus a drafted graph with titled and scaled axes, outlier notes, and one trend sentence.
- 1Do thisBuild a clear data table and draft a graph that represents your environmental data accurately.
- 2Use this resource
- 3Submit thisData table: Clean labeled data table plus a drafted graph with titled and scaled axes, outlier notes, and one trend sentence.
- 4Submit it here
- 1CMSD website. Go to clevelandmetroschools.org and click the Clever button.
- 2Clever. Clever opens. Sign in if it asks.
- 3Microsoft (district) login. Use your district Microsoft account (the one for school).
- 4Schoology. Open Schoology, then your class, then Assignments, and find the file named below.
The file to submit is named: Biotechnology for Health (Biomedical Innovations) › Data tables, graphical claims, variables, outliers, correlation vs causation. › Data tableOpen Schoology
- CER:
- Claim, Evidence, Reasoning — make a claim, back it with evidence, explain your reasoning.
- SOP:
- Standard Operating Procedure — the exact steps to follow (especially in a lab).
- Tracker:
- Your PLTW progress log where you record completed evidence.
- myPLTW:
- The PLTW course site where you do the online activities — you open it through Schoology.
Minute-by-minute · 80-minute block
💡 Big idea: An accurate graph is the foundation for every evidence-based environmental claim.
- 0-5 minWarm-up: which graph type would best show how air quality changes over a week?
- 5-20 minClean and label your data table with column headers and units
- 20-40 minChoose graph type and plot data with titled, scaled axes
- 40-55 minIdentify outliers; note your decision to keep or flag each one
- 55-70 minWrite one trend sentence based on the graph
- 70-80 minExit ticket: submit graph draft and trend sentence
- • Welcome back after the break. Today we turn raw environmental numbers into a readable graph.
- • A graph is only as good as the data table behind it, so we start there.
- • Graph type selection is a real decision: bar, line, or scatter each tell a different story.
- • By the end of class you'll have a draft graph and one trend sentence ready for Thursday.
- 1Organize your data into a clean table with labeled columns and units.
- 2Choose a graph type that fits your variables.
- 3Plot the data with titled axes and an appropriate scale.
- 4Mark any outliers and decide whether to keep or flag them.
- 5Write one sentence describing the trend the graph shows.
- • Your graph has titled, scaled axes and accurate plotted data.
- • You identified and justified handling of any outlier.
- • Graph type selection depends on whether your variables are categorical, continuous, or time-based.
- • Axis titles and units are required; a graph without them cannot be interpreted by anyone else.
- • An outlier decision must be justified, not silently dropped.
Your PLTW work today
Data tables, graphical claims, variables, outliers, correlation vs causation. · Graph draft
Day 1 of this lesson. Open this exact section in myPLTW (reached through Schoology), then do the work below.
Do this: Open Problem 4 in your myPLTW course shell and navigate to the current graphing activity, then build a clean data table and draft a graph that represents your environmental data.
Attach your graph draft to the Problem 4 evidence portfolio.
The two no-school days are behind you; graph drafts are a mid-unit milestone, so confirm you are on pace and submit by end of today.
Draft graph with trend sentence uploaded as today's evidence.
All PLTW activities are completed inside the PLTW course environment — this page only gives direction. Submit producibles on Schoology.
Today's PLTW tracker
Check things off as you work, then submit. This tells Mr. Mendoza how you're doing so he can help the class. It does not replace turning in your producible on Schoology.
Use the code Mr. Mendoza gave you, not your name. Saved on this device.
Data tables, graphical claims, variables, outliers, correlation vs causation. · Graph draft
Open Problem 4 in your myPLTW course shell and navigate to the current graphing activity, then build a clean data table and draft a graph that represents your environmental data.
The two no-school days are behind you; graph drafts are a mid-unit milestone, so confirm you are on pace and submit by end of today.
This is how Mr. Mendoza sees the class keeping pace with PLTW. Be honest, it only helps if it is accurate.
🎯 Build a clear data table and draft a graph that represents your environmental data accurately.
- Organize your data into a clean table with labeled columns and units.
- Choose a graph type that fits your variables.
- Plot the data with titled axes and an appropriate scale.
- Mark any outliers and decide whether to keep or flag them.
- Write one sentence describing the trend the graph shows.
Data table: Clean labeled data table plus a drafted graph with titled and scaled axes, outlier notes, and one trend sentence.
Submit on SchoologyUpload by 11:29 PM for full credit.
| Task | Who |
|---|---|
| Organize your data into a clean table with labeled columns and units. | _______ |
| Choose a graph type that fits your variables. | _______ |
| Plot the data with titled axes and an appropriate scale. | _______ |
| Mark any outliers and decide whether to keep or flag them. | _______ |
| Write one sentence describing the trend the graph shows. | _______ |
Working solo? Put your own name in "Who" for every row.
- Your graph has titled, scaled axes and accurate plotted data.
- You identified and justified handling of any outlier.
Teacher-posted resources
Classroom documents for this lesson. Ones marked “Open the file” open right here; the rest are posted in Schoology. Use the label on each card to choose the right move.
Open this when the class reaches this activity and use it to complete the required lesson artifact.
Placement rationale
Matched Environmental data graphing and analysis by path:Biomedical-Innovations/Problem-4_Environmental-Health/4.1_Environmental-Health; keywords:environmental. Score 134. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.
Placement rationale
Matched Environmental data graphing and analysis by path:Biomedical-Innovations/Problem-4_Environmental-Health/4.1_Environmental-Health; keywords:environmental. Score 130. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.
Placement rationale
Matched Environmental data graphing and analysis by path:Biomedical-Innovations/Problem-4_Environmental-Health/4.1_Environmental-Health; keywords:environmental. Score 130. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
How to get there: open the CMSD website, click Clever, sign in with your Microsoft (district) account, then open Schoology from Clever.
WebXam practice
Cumulative WebXam review
A quick mixed-review pulling questions from earlier units plus today, so the WebXam material stays fresh.
Where this leads — careers
What today's skills lead to. These are real health-science careers this course builds toward. Tap one to see, on the US Department of Labor's O*NET site, what the job actually involves, what it pays, and how fast it is growing.
What to do if you were absent
Today is individual PLTW work, so do exactly what we did in class, from home: complete the same PLTW target above, then submit your Data table.
Open Schoology (CMSD) and keep goingHow to get there: open the CMSD website, click Clever, sign in with your Microsoft (district) account, then open Schoology from Clever.
Class still runs. Complete the online activity above (it's self-guided). Need the concept taught without a teacher? Use this authoritative explainer:
Khan Academy StatisticsOptional extra credit (async)
You've passed Unit 2, so the optional extra-credit track is open. Complete reserved-unit work from home (virtual labs included) for extra credit, all submitted on Schoology.
Open the extra-credit track- CompleteEvery required part of the artifact is present, nothing left blank.
- AccurateThe science and the data are correct and match the evidence.
- Scientific reasoningYou explain your claim with evidence and reasoning (CER), not just an answer.
- Professional communicationClear, organized, labeled, and written the way a clinician or scientist would.
- SubmittedTurned in the right way (Schoology for routine work) and confirmed.
Drop your Tue, Mar 23, 2027 · Graph draft here. Use a clear file name (your initials + project). Routine work still goes to Schoology (via the CMSD portal).
Upload a project