Data analysis and limitations
Do now
Students will analyze their investigation data and write a CER that acknowledges experimental limitations.
- Hand in
- Written CER with a dose-response claim, two specific data-point evidence entries, reasoning linking dose to worm response, and at least two limitations of the investigation.
- Where
- Turn this in at the drop folder with your district Microsoft sign-in, or hand it to Mr. Mendoza in class. Both count as submitted. Doing the activity in myPLTW does not.
You get two school days for every day you were absent, so this deadline moves with you.
Your worms moved less as the metal concentration rose. How do you prove that is a real dose-response effect and not luck, and where might your own experiment have fooled you?
Students will analyze their investigation data and write a CER that acknowledges experimental limitations.
- • CER includes claim, evidence, and reasoning.
- • At least two real limitations are identified.
- On a dose-response graph, what goes on the x-axis and what goes on the y-axis?
- Which is stronger evidence: 'the worms moved less' or 'worms in 10 mM moved half as far as the control'? Why?
- 1Graph worm response across concentrations.
- 2Make a claim about the effect of the .
- 3Cite two data points as evidence.
- 4Add reasoning linking dose to response.
- 5List two limitations of your investigation.
What did this day actually feel like?
Data analysis and limitations
Dose response claim, two specific data points as evidence, and a limitations section that had to name the timing problem honestly.
Writing down a flaw that weakens your own result feels like losing marks. He says it is the opposite, because the alternative is someone else finding it.
AT HOME, THE WEEKEND BEFORE MON APR 19 Submit investigation evidence Protocol, data table, dose response CER, tracker.
Turned in: investigation packet → recorded in Class Records
Fiction. There is no such student. The lessons, labs and dates are the real planned course; the student, the classmates and the conversations are invented.
The same day, drawn.
Dose response claim, two specific data points as evidence, and a limitations section that had to name the timing problem honestly.
Fiction. There is no such student. The lessons, labs and dates are the real planned course; the student, the classmates and the conversations are invented.
🛠 Get unstuck · pick your level
🔑 Today's words · 5
Tap a word in the lesson for a plain meaning and one example. Recycled into next week's Do-Now.
Do the work · 80-minute blockfirst 5 min = hook▸
💡 Big idea: Graphing reveals the dose-response pattern and a CER converts it into argument, so that stating limitations bounds the claim honestly and makes the conclusion more credible, not less.
- 0-12Graph worm response vs. concentration; label axes, title, and units
- 12-28Identify the dose-response trend; decide on a specific claim
- 28-48Write full CER: claim, two specific data-point evidence entries, reasoning linking dose to response
- 48-60Add limitations section: at least two real limitations with brief explanation
- 60-72: partner checks claim specificity, evidence values, and limitations
- 72-80Revise and submit CER
- • Your is full; now you have to turn numbers into a scientific argument.
- • A graph makes the dose-response pattern visible so you can write a precise claim.
- • Every real scientific paper includes a limitations section, and so will your CER.
- • By the end of class you will have a complete, peer-reviewed CER ready to submit.
- • A dose-response graph shows the relationship between concentration and biological effect.
- • Scientific claims must be supported by specific data, not general impressions.
- • Acknowledging limitations demonstrates scientific honesty and is required for the Evaluate Body Systems WebXam domain.
Unit 2.3 Challenge Accepted: Open-ended C. elegans/heavy metal investigation or validated simulation; data and conclusions. · Data analysis and limitations
Day 4 of this lesson. Open this exact section in myPLTW (find it in Clever, Microsoft sign-in), then do the work below.
Do this: Complete the data-analysis or CER reflection prompt in Lesson 2.3 Challenge Accepted on myPLTW associated with today's dose-response graph and CER; finish it before .
Mark the data-analysis task complete in myPLTW after submitting your CER with limitations.
Lab task is done; today the analysis task should show complete and your CER should be submitted.
Screenshot or note of completion status for your tracker.
The official PLTW activity stays inside myPLTW. If myPLTW will not open, use F1 and E1-E3 on this page to complete today's local evidence decision, then make up the official activity when access returns. Turn this in at the drop folder with your district Microsoft sign-in, or hand it to Mr. Mendoza in class. Both count as submitted. Doing the activity in myPLTW does not.
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 through the submission route shown below.
Use the code Mr. Mendoza gave you, not your name. Saved on this device.
Unit 2.3 Challenge Accepted: Open-ended C. elegans/heavy metal investigation or validated simulation; data and conclusions. · Data analysis and limitations
Complete the data-analysis or CER reflection prompt in Lesson 2.3 Challenge Accepted on myPLTW associated with today's dose-response graph and CER; finish it before .
Lab task is done; today the analysis task should show complete and your CER should be submitted.
This is how Mr. Mendoza sees the class keeping pace with PLTW. Be honest, it only helps if it is accurate.
🎯 Students will analyze their investigation data and write a CER that acknowledges experimental limitations.
- Graph worm response across concentrations.
- Make a claim about the effect of the .
- Cite two data points as evidence.
- Add reasoning linking dose to response.
- List two limitations of your investigation.
CER: Written CER with a dose-response claim, two specific data-point evidence entries, reasoning linking dose to worm response, and at least two limitations of the investigation.
Turn this in at the drop folder with your district Microsoft sign-in, or hand it to Mr. Mendoza in class. Both count as submitted. Doing the activity in myPLTW does not. Use the checklist just below and upload by 11:29 PM for full credit. Absent with an excused absence? You get two school days for every day you were absent, so this deadline moves with you.
| Task | Who |
|---|---|
| Graph worm response across concentrations. | _______ |
| Make a claim about the effect of the . | _______ |
| Cite two data points as evidence. | _______ |
| Add reasoning linking dose to response. | _______ |
| List two limitations of your investigation. | _______ |
Working solo? Put your own name in "Who" for every row.
- CER includes claim, evidence, and reasoning.
- At least two real limitations are identified.
- 1Do thisStudents will analyze their investigation data and write a CER that acknowledges experimental limitations.
- 2Use this resource
- 3Submit thisCER: Written CER with a dose-response claim, two specific data-point evidence entries, reasoning linking dose to worm response, and at least two limitations of the investigation.
- 4Submit it here
- 1Open the drop folder.
- 2Sign in with your district Microsoft account, not a personal one.
- 3Upload the file, named Lastname_Firstname__Assignment Title.
- 4Your own upload panel says Uploaded with a green check: that is your receipt.
Turn this in at the drop folder with your district Microsoft sign-in, or hand it to Mr. Mendoza in class. Both count as submitted. Doing the activity in myPLTW does not. Human Anatomy & Physiology (Human Body Systems) › Unit 2.3 Challenge Accepted: Open-ended C. elegans/heavy metal investigation or validated simulation; data and conclusions. › CEROpen the drop folder
Learn it · deck, reading, and vocabulary▸
The deck carries the prior idea forward, lets you inspect an analogy, maps the rule to biology, and ends with the same evidence decision and exit ticket used on this page.
Generated from this lesson's canonical data with a red-team citation check.
Every condition including the control is documented the same way so that the raw worm data can be trusted as evidence for a real dose-response effect rather than an artifact of careless observation.
Graphing reveals the dose-response pattern and a CER converts it into argument, so that stating limitations bounds the claim honestly and makes the conclusion more credible, not less.
A detective board holds observations, possible explanations, and one next question.
- Which notes are direct observations?
- Which notes are explanations?
- What new evidence would separate the explanations?
Keep observations separate from explanations, then collect the evidence that can distinguish the options.
Biomedical investigations use controlled procedures and validated measurements, not intuition alone.
- • Board notes map to E1-E3.
- • Possible explanations map to the decision options.
- • The next question maps to the evidence-based action.
Driving question: Your worms moved less as the metal concentration rose. How do you prove that is a real dose-response effect and not luck, and where might your own experiment have fooled you?
What you already know: Every condition including the control is documented the same way so that the raw worm data can be trusted as evidence for a real dose-response effect rather than an artifact of careless observation.
New idea: Graphing reveals the dose-response pattern and a CER converts it into argument, so that stating limitations bounds the claim honestly and makes the conclusion more credible, not less.
Visual or model: F1. F1. A lesson illustration or teaching diagram for Data analysis and limitations. Use it with E1-E3; it is a model or context image, not experimental or patient data. What to notice: Trace the labeled structure, movement, or system relationship that connects form to function.
- Observe or measure the relevant feature in Data analysis and limitations.
- Organize the observation with a stable evidence ID.
- Apply this rule: Keep observations separate from explanations, then collect the evidence that can distinguish the options.
- Choose the option the evidence supports and state the limit of the conclusion.
Real biomedical example: Your worms moved less as the metal concentration rose. How do you prove that is a real dose-response effect and not luck, and where might your own experiment have fooled you?
What the evidence supports: E1-E3 and F1 support the daily take-home when the response meets the stated success criteria.
What it cannot prove: The package does not support claims beyond this lesson's or any real patient diagnosis.
- • : A dense metallic element such as lead, mercury, or arsenic that is toxic to the body even at low amounts and can build up over time.
- • toxicology: The science of how chemicals and other substances cause harm to living things, including the dose at which they become dangerous.
- • hypothesis: A testable, falsifiable prediction about how variables relate, written so an experiment can support it or prove it wrong.
- • : An organized grid of rows and columns used to record measurements and observations clearly so they can be compared and analyzed.
- • graph: A visual display of data, such as a bar, line, or scatter plot, that makes patterns and relationships easier to see than a table of numbers.
- • limitation: A weakness or boundary of a study, design, or method that restricts how far its results can be trusted or applied.
- • conclusion: The closing part of an investigation where you state whether the evidence supported your hypothesis and explain what the results mean.
Use it now: Choose one decision option. Cite E1 and E3, then explain how the rule connects the evidence to your choice.
Go further, optional: The source links below are optional enrichment. Every fact required for today's local evidence decision appears in this lesson package.
A dose-response graph shows the relationship between concentration and biological effect.
Limit: E1 supplies context or an observation; it does not by itself establish the explanation.
Graphing reveals the dose-response pattern and a CER converts it into argument, so that stating limitations bounds the claim honestly and makes the conclusion more credible, not less.
Limit: E2 is a teaching statement or comparison and must be checked against the task evidence.
CER includes claim, evidence, and reasoning.
Limit: E3 supports only the result or product criterion named here; it cannot justify a broader clinical or causal claim.
PLTW-HAP-2027-04-16 · Simulated classroom evidence scenario
Your role: anatomy and physiology consultant
Decision: Your team must decide what the evidence from Data analysis and limitations supports before submitting the claim-evidence-reasoning response named on the lesson page.
- • Select the option best supported by E1-E3.
- • Select a reasonable alternative and name the evidence it would require.
- • Delay the claim because the evidence does not distinguish the options.
Response: State one choice, cite at least two evidence IDs, explain the rule that connects them, and add one limitation. Submit it as the claim-evidence-reasoning response.
Claim ceiling: The supplied lesson evidence can support an observation, pattern, classroom mechanism, or next-step decision about Data analysis and limitations. It cannot by itself prove causation, establish a real clinical diagnosis, or justify action outside this classroom task.
= final volume / sample volume. New concentration = starting concentration / dilution factor.
Mix 1 mL of sample to a final volume of 10 mL. The is 10. A 100 mg/mL starting sample becomes 10 mg/mL.
Use the same volume units before dividing. Concentration keeps its original concentration unit.
Apply the same setup to one supplied dilution or dose. Show the factor, new value, units, and a reasonableness check.
Students often think Students often think naming limitations weakens their conclusion, so they hide the flaws in their experiment.. The trap: That is the trap: stating limitations is required scientific honesty and actually makes your argument stronger, because it shows you know exactly what your data can and cannot prove. Hiding a small does not make it disappear.
Parallel case (model only, not today's prompt): a different team tested how caffeine concentration affects the heart rate of Daphnia (water fleas) under a microscope.\n\nClaim: Increasing caffeine concentration raises Daphnia heart rate, showing a dose-response relationship.\n\nEvidence: In the 0 mg/L control, the average heart rate was 180 beats per minute. At 20 mg/L caffeine the average rose to 240 beats per minute, and the 10 mg/L group fell in between at about 210 beats per minute.\n\nReasoning: As the dose of caffeine rose, the biological effect (faster heartbeat) increased. This is what physiology predicts: caffeine is a stimulant that blocks the signals that normally slow the heart, so more caffeine drives more heartbeats per minute. The steady climb from control to 20 mg/L shows the effect scales with dose rather than jumping at random.\n\nLimitations:\n- Small sample size (only a few Daphnia per concentration) means one unusually fast or slow animal could shift the average a lot.\n- Heart rate was counted by eye while watching a fast, tiny heart, so the same beats could be tallied differently by different observers or on different trials.
This model shows the level of evidence and organization needed to complete: Parallel model of the analysis target: a dose-response CER that states a claim, cites two data points, reasons from dose to response, and names two real limitations. Model only. It does not answer today's copper-and-worms prompt.
- Write one defensible claim.
- Choose specific evidence that supports the claim.
- Explain the scientific rule that connects the evidence to the claim.
Keep the structure. Replace the question, facts, measurements, and evidence. Then recheck units, vocabulary, and whether the conclusion goes beyond the evidence.
Also due today: Submit your CER on the class site, or hand it to Mr. Mendoza in class.
- 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. Find it in Clever with your Microsoft sign-in, right next to Schoology.
Tap the speaker to hear a term. Add two of these to your notebook glossary with a definition and an example in your own words.
Pick just 2 or 3 words from today and make them yours: write what each one means in your own words, name the context clue or evidence that helped, then give one example from what you actually did in Data analysis and limitations. Try your own words first; the glossary is there if you get stuck. This is voluntary and counts as extra credit, so keep it short.
Saved on this device. Show Mr. Mendoza or add these to your notebook glossary to claim the extra credit.
Hand-picked readings, videos, and interactives for this lesson, all free and from authoritative open organizations (NIH, CDC, OpenStax, Khan Academy, PhET, HHMI, and more).
A fillable, Cornell-style notebook for Unit 2: Research Ready. Type your notes, cues, and summaries right in the PDF, or print it and write by hand. Each lesson page has a cue column, a notes column, and a summary box, plus dated lab-record pages you can turn in.
HBS Unit 2 notebook: Research Ready Fillable PDFCornell notes + lab recordsOpenVetted readings and references for this unit. Use them to prepare, to catch up if you were absent, or to go deeper on today's target.
Check yourself · commit, then reveal▸
Claim ceiling for this check: The supplied lesson evidence can support an observation, pattern, classroom mechanism, or next-step decision about Data analysis and limitations. It cannot by itself prove causation, establish a real clinical diagnosis, or justify action outside this classroom task.
Why does naming a limitation like a small sample size make your CER stronger rather than weaker?
Write an answer and pick a confidence to unlock the key.
Fast retrieval with instant answers, not the commit-then-reveal check above. Try each from memory first: write what you remember about the earlier units, then check yourself here.
Go further and get help▸
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.
Today is individual work you can do from home: complete the same target above, then submit your CER.
Open the drop folderTurn this in at the drop folder with your district Microsoft sign-in, or hand it to Mr. Mendoza in class. Both count as submitted. Doing the activity in myPLTW does not.
Class still runs. Complete the online activity above (it's self-guided). Need the concept taught without a teacher? Use this authoritative explainer:
CDC: Lead poisoning preventionYou've passed Unit 2, so the optional extra-credit track is open. Complete reserved-unit work from home, including virtual labs, for extra credit. Each item shows its correct submission route.
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, on the class site or handed to Mr. Mendoza in class, and confirmed. Not in Schoology: that is where the report-card grade appears later.