Tue, Mar 16, 2027Spring (Semester 2) · Week 9Day 31 of 6180-min blockCalendar fit

CER mini-report

Essential question: What makes a scientific conclusion honest: claiming everything worked, or naming clearly what could have gone wrong?Enduring understanding: A strong conclusion is a claim tied to your own evidence by explicit reasoning, and the limitations you admit make it more believable, not less. Owning what your study could not show is a scientist's credibility, not a confession.

Do now

Write a CER conclusion that states limitations of your physiology analysis.

DueTonight, 11:29 PM
Hand in
Problem 2 CER analysis mini-report: specific claim, statistical evidence with values, reasoning, and at least two honest limitations.
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.

Where you are · this course
Bias, error, graph choice, CER conclusion, limitations. CER mini-report ▸ Day 4
Day 31 of 61 this semester30 left before WebXam
🧬 Where you are · PLTW
Biomedical InnovationProblem 2: Exploring Human Physiology"Activity 2.1.3 Making Results Meaningful"
Matched to your live myPLTW course (verified June 2026).
Today's driving question

Your statistics are done. Now, what exactly can you claim about your , what evidence backs it, and what two honest limitations should a reader know before they trust it?

Today you'll be able to

Write a CER conclusion that states limitations of your physiology analysis.

You've got it when
  • Your mini-report contains a complete CER conclusion.
  • You name at least two honest limitations.
Due today · CER RequiredProblem 2 CER analysis mini-report: specific claim, statistical evidence with values, reasoning, and at least two honest limitations.
Do-Now · start these with your notes closed
  1. In one sentence, what is your answer (claim) to the your data was meant to test?
  2. Name one thing about how your class collected data that could make a reader doubt the result, even if your math is perfect.
Do this · step by step
numbered so we can always find our place
  1. 1State a claim answering your .
  2. 2Cite your statistical evidence to support the claim.
  3. 3Explain your reasoning linking evidence to claim.
  4. 4List at least two limitations of your study.
  5. 5Submit the Problem 2 analysis mini-report.
Interrupted or lost? Locate your place: if you have not written your claim yet, state it first; if you have a claim, cite your statistical evidence (the means and the t-test result); then write the reasoning linking evidence to claim; then list at least two limitations; then submit the Problem 2 mini-report.
Optional project open: Microbiology & the Working Lab - solo or group, about 3 to 4 hours total. Due by Fri, May 28, 2027. Great WebXam prep.
The story

What did this day actually feel like?

CER mini-report

Claim, evidence, reasoning, limitations. My claim had to be that we found no significant difference, which is a real finding and does not feel like one.

Turned in: CER → Claim Evidence Reasoning folder

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 comic

The same day, drawn.

Drawing, panel 40: CER mini-report.

Claim, evidence, reasoning, limitations. My claim had to be that we found no significant difference, which is a real finding and does not feel like one.

Panel 40CER mini-report · 2027-03-16
Read week 8, 4 panels

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

Need a running start
Warm up by writing your claim and one supporting number as two separate sentences. Getting the claim and the evidence apart first makes the reasoning sentence (why the number supports the claim) much easier to write.
On track
Write the full CER conclusion: state a claim answering your research question, cite your specific statistical evidence, connect them with explicit reasoning, and name at least two genuine limitations of your study without undercutting the claim.
Stuck? Get unstuck
If you missed today, use your Day 3 statistics output and the CER frame to draft a claim, one piece of evidence, one reasoning sentence, and two limitations, then submit the mini-report to catch up.
Push me further
After your two limitations, write one sentence proposing a specific next experiment that would fix your biggest limitation, and explain why that fix would make a future claim stronger.

🔑 Today's words · 5

biaslimitationreplicationstatistical significanceevidence

Tap a word in the lesson for a plain meaning and one example. Recycled into next week's Do-Now.

Today's study notebook
Turning raw measurements into claims: graphs, mean and standard deviation, and reading a dataset.
Open the notebook
Watch first: today's 1-minute intro
Audio overviewVideo overviewMind mapStudy guideFlashcardsQuizData table
Where this fits
Tested on (Ohio WebXam)
Biotechnology for Health and Disease · 072125 (likely, pending confirmation)
PLTW lesson
BI · Problem 2: Exploring Human Physiology
WebXam domain
Microbiology Testing and Technology
Evidence to produce
CER
Lab / skill
Khan Academy Statistics and Probability
Do the work · 80-minute blockfirst 5 min = hook

💡 Big idea: A CER conclusion links a claim to your own statistical evidence with explicit reasoning, and naming honest limitations bounds that claim rather than breaking it, so admitting what could have gone wrong is what makes the finding trustworthy.

  1. 0-10Review the CER mini-report format: claim, evidence, reasoning, and limitations
  2. 10-25Write the claim: answer your directly and specifically
  3. 25-45Cite statistical evidence: include specific values (mean, SD, t-test result) that support the claim
  4. 45-60Write the reasoning: explain how the statistics connect to the claim
  5. 60-75List at least two honest limitations and explain why each matters
  6. 75-80Submit the Problem 2 analysis mini-report; confirm it is in before Fall Break
Mr. Mendoza's 5-minute intro
  • You have run your analysis. Now you need to say what it means.
  • A CER mini-report is the vehicle: claim from your , evidence from your statistics, and reasoning that connects them.
  • Naming limitations is not a sign of weakness -- every published study includes them because they show you understand the boundaries of your evidence.
  • CER writing fluency is tested across all four WebXam 072125 strands.
Know by the end
  • How to write a CER conclusion that states a claim, cites statistical evidence, and connects them with explicit reasoning.
  • How to identify and name at least two limitations of a physiology study without undermining the conclusion.
  • Why honest limitations strengthen rather than weaken a scientific report.
Open this PLTW section today

Bias, error, graph choice, CER conclusion, limitations. · CER mini-report

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: Open Problem 2 in your myPLTW course shell and locate the CER or analysis-report activity to review the expected format and evidence standards.

Complete

Mark the CER mini-report activity complete in your tracker after submitting, because it is due before Fall Break.

How far to get

The statistics analysis is done; today you write the CER conclusion with two honest limitations and submit the mini-report before Fall Break.

Upload as evidence

CER mini-report with specific claim, statistical evidence with values, reasoning, and at least two named limitations turned in on the class site or in person.

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.

Today's PLTW tracker · fill in and submit

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.

Bias, error, graph choice, CER conclusion, limitations.Day 4 of this projectSee the full week plan
Today's PLTW target

Bias, error, graph choice, CER conclusion, limitations. · CER mini-report

Open Problem 2 in your myPLTW course shell and locate the CER or analysis-report activity to review the expected format and evidence standards.

The statistics analysis is done; today you write the CER conclusion with two honest limitations and submit the mini-report before Fall Break.

This is how Mr. Mendoza sees the class keeping pace with PLTW. Be honest, it only helps if it is accurate.

1 · What you do today

🎯 Write a CER conclusion that states limitations of your physiology analysis.

  • State a claim answering your .
  • Cite your statistical evidence to support the claim.
  • Explain your reasoning linking evidence to claim.
  • List at least two limitations of your study.
  • Submit the Problem 2 analysis mini-report.
2 · What you turn in

CER: Problem 2 CER analysis mini-report: specific claim, statistical evidence with values, reasoning, and at least two honest limitations.

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.

3 · Who's doing what (team)
TaskWho
State a claim answering your ._______
Cite your statistical evidence to support the claim._______
Explain your reasoning linking evidence to claim._______
List at least two limitations of your study._______
Submit the Problem 2 analysis mini-report._______

Working solo? Put your own name in "Who" for every row.

4 · Words I can use correctly
5 · I'm successful today when I can…
  • Your mini-report contains a complete CER conclusion.
  • You name at least two honest limitations.
6 · Reflection & next steps
Where are you today?0/7 checked
Pick your period and code first.
Your 4 steps today
  1. 1
    Do this
    Write a CER conclusion that states limitations of your physiology analysis.
  2. 2
  3. 3
    Submit this
    CER: Problem 2 CER analysis mini-report: specific claim, statistical evidence with values, reasoning, and at least two honest limitations.
  4. 4
    Submit it here
    1. 1Open the drop folder.
    2. 2Sign in with your district Microsoft account, not a personal one.
    3. 3Upload the file, named Lastname_Firstname__Assignment Title.
    4. 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. Biotechnology for Health (Biomedical Innovations) › Bias, error, graph choice, CER conclusion, limitations. › CER
    Open the drop folder
Were you absent? Jump to the make-up plan
Learn it · deck, reading, and vocabulary
Socratic teaching slide deck

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.

Carry forward

A difference between averages could come from chance when the data are spread out, so you run a t-test and record every step, because that is what lets you (and anyone else) trust the result is real and repeatable.

Daily take-home

A CER conclusion links a claim to your own statistical evidence with explicit reasoning, and naming honest limitations bounds that claim rather than breaking it, so admitting what could have gone wrong is what makes the finding trustworthy.

Inspect the analogy

A detective board holds observations, possible explanations, and one next question.

  1. Which notes are direct observations?
  2. Which notes are explanations?
  3. What new evidence would separate the explanations?
Rule

Keep observations separate from explanations, then collect the evidence that can distinguish the options.

Where it breaks

Biomedical investigations use controlled procedures and validated measurements, not intuition alone.

Map the analogy to biology
  • Board notes map to E1-E3.
  • Possible explanations map to the decision options.
  • The next question maps to the evidence-based action.
Read this first

Driving question: Your statistics are done. Now, what exactly can you claim about your , what evidence backs it, and what two honest limitations should a reader know before they trust it?

What you already know: A difference between averages could come from chance when the data are spread out, so you run a t-test and record every step, because that is what lets you (and anyone else) trust the result is real and repeatable.

New idea: A CER conclusion links a claim to your own statistical evidence with explicit reasoning, and naming honest limitations bounds that claim rather than breaking it, so admitting what could have gone wrong is what makes the finding trustworthy.

Visual or model: F1. F1. A lesson illustration or teaching diagram for CER mini-report. Use it with E1-E3; it is a model or context image, not experimental or patient data. What to notice: Trace the labeled system, test, or design relationship and identify which evidence should trigger revision.

  1. Observe or measure the relevant feature in CER mini-report.
  2. Organize the observation with a stable evidence ID.
  3. Apply this rule: Keep observations separate from explanations, then collect the evidence that can distinguish the options.
  4. Choose the option the evidence supports and state the limit of the conclusion.

Real biomedical example: Your statistics are done. Now, what exactly can you claim about your , what evidence backs it, and what two honest limitations should a reader know before they trust it?

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.

Vocabulary:
  • bias: A systematic error in how data is collected or interpreted that tilts results in one direction, making conclusions less accurate or unfair.
  • limitation: A weakness or boundary of a study, design, or method that restricts how far its results can be trusted or applied.
  • replication: Repeating a study to see if the result holds; a key test of whether a finding is real.
  • : A result unlikely to be due to chance, often shown by a p-value below a set threshold such as 0.05.
  • evidence: The facts, data, and cases that carry your claim. Opinions are free; evidence costs homework.

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.

Evidence set and decision
E1 · Observation

How to write a CER conclusion that states a claim, cites statistical evidence, and connects them with explicit reasoning.

Limit: E1 supplies context or an observation; it does not by itself establish the explanation.

E2 · Mechanism

A CER conclusion links a claim to your own statistical evidence with explicit reasoning, and naming honest limitations bounds that claim rather than breaking it, so admitting what could have gone wrong is what makes the finding trustworthy.

Limit: E2 is a teaching statement or comparison and must be checked against the task evidence.

E3 · Result

Your mini-report contains a complete CER conclusion.

Limit: E3 supports only the result or product criterion named here; it cannot justify a broader clinical or causal claim.

PLTW-BFH-2027-03-16 · Simulated classroom evidence scenario

Your role: biomedical design team member

Decision: Your team must decide what the evidence from CER mini-report 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 CER mini-report. It cannot by itself prove causation, establish a real clinical diagnosis, or justify action outside this classroom task.

Math moment
Formula or setup

Mean = sum of values / number of values. Median = middle ordered value. Range = maximum - minimum.

Worked parallel example

For 2, 4, 4, and 10: mean = 20 / 4 = 5, median = 4, and range = 10 - 2 = 8.

Units and reasonableness

Mean, median, and range keep the measurement unit. Order the values before finding the median.

Try it with today's data

Calculate the requested summary for today's supplied values, then write what it reveals and what it hides.

Watch the trap

Students often think Students think a conclusion should summarize what they did step by step, and that admitting limitations makes their work look weak or wrong.. The trap: A conclusion is not a recap of your procedure, and limitations are not admissions of failure. A claim must be answered with evidence and reasoning, and naming honest limits (small sample, uncontrolled variables) shows you understand the boundaries of your result, which is exactly what makes readers trust the part you do claim.

Worked example · a parallel case (guides, does not reveal)
Worked CER on a parallel case (respiratory rate)
Completes: Worked CER on a parallel case: models the Problem 2 mini-report format (claim answering a research question, statistical evidence with values, reasoning, and at least two honest limitations) using a different physiology comparison so it guides format and depth without answering today's heart-rate prompt.

Research question for this parallel case: Does a slow paced-breathing exercise lower a person's resting breathing rate compared to normal quiet sitting?\n\nClaim: A slow paced-breathing exercise significantly lowers resting breathing rate compared to normal quiet sitting.\n\nEvidence: My quiet-sitting mean was 15.4 breaths per minute (SD 1.1) and my paced-breathing mean was 9.8 breaths per minute (SD 1.3), a difference of about 5.6 breaths per minute. A two-sample t-test gave p of about 0.0003, below 0.05.\n\nReasoning: Because the p-value is below 0.05, the 5.6 breath-per-minute drop is too large to be explained by normal measurement variation alone, so the paced-breathing exercise is the most likely cause of the lower breathing rate. The small standard deviations show my readings within each condition were consistent, which strengthens the comparison.\n\nLimitations:\n1. I tested only one subject, so I cannot generalize to all people; lung capacity and baseline breathing habits vary from person to person.\n2. I controlled the sitting position but not factors like recent physical activity or anxiety before the session, which could raise the baseline breathing rate and exaggerate the difference.\n\nThese limitations do not erase the result; they tell a reader exactly how far the conclusion can be trusted.

Why this matters

This model shows the level of evidence and organization needed to complete: Worked CER on a parallel case: models the Problem 2 mini-report format (claim answering a research question, statistical evidence with values, reasoning, and at least two honest limitations) using a different physiology comparison so it guides format and depth without answering today's heart-rate prompt.

Build yours step by step
  1. Write one defensible claim.
  2. Choose specific evidence that supports the claim.
  3. Explain the scientific rule that connects the evidence to the claim.
Change it for a new task

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 the Problem 2 analysis mini-report on the class site, or hand it to Mr. Mendoza in class before the end of Thursday class. This is due before Fall Break.

See the full worked example
Portal terms
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.
This unit's vocabulary

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.

Build your vocabulary · optional, for extra credit

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 CER mini-report. 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.

bias
limitation
replication
statistical significance
evidence

Saved on this device. Show Mr. Mendoza or add these to your notebook glossary to claim the extra credit.

Teacher-posted resources

Classroom documents for this lesson are posted in Schoology. Open Clever, then Schoology, and find each one by the name shown on its card.

Catch-up / reteachFor: Need extra support
PLTW BI Activity 2.1.3 Making Results Meaningful
worksheet/handoutPosted in Schoology
Open in Schoology

Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.

Placement rationale

Matched Statistical analysis and t-test reasoning by path:Biomedical-Innovations/Problem-2_Human-Physiology/2.1_Human-Physiology; keywords:statistical analysis. Score 138. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

Catch-up / reteachFor: Need extra support
PLTW BI 2.1.3 Statistical Analysis Three Examples Resource
worksheet/handoutPosted in Schoology
Open in Schoology

Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.

Placement rationale

Matched Statistical analysis and t-test reasoning by path:Biomedical-Innovations/Problem-2_Human-Physiology/2.1_Human-Physiology; keywords:statistical analysis. Score 134. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

Use during lessonFor: Everyone
BI Project 2.1.1 Scientific Research Student Activity
worksheet/handoutPosted in Schoology
Open in Schoology

Open this when the class reaches this activity and use it to complete the required lesson artifact.

Placement rationale

Matched Statistical analysis and t-test reasoning by path:Biomedical-Innovations/Problem-2_Human-Physiology/2.1_Human-Physiology. Score 126. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

How to get there: open Clever and sign in with your Microsoft (district) account. Both myPLTW and Schoology are in Clever. Do the activity in myPLTW. Turn the work in on this site or hand it to Mr. Mendoza, because that is the step that counts as submitted. Schoology only shows your report-card grade later.

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 CER mini-report. It cannot by itself prove causation, establish a real clinical diagnosis, or justify action outside this classroom task.

Quick self-check · commit, then reveal

A peer writes: 'Our sample was only 12 people, so our whole conclusion is probably wrong and we should not claim anything.' Is that the right way to handle the limitation? What should they do instead?

How sure are you?

Write an answer and pick a confidence to unlock the key.

Cumulative WebXam review · flash practice

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.

Tap an answer to check it · nothing is recorded or graded
[Review: Prototyping the ER: floor plans, process flow, and human factors] How should you properly prepare hydrochloric acid (HCl) for disposal?
[Review: Pitch and revise: evidence-based feedback and intro to study design] Experimental results fall significantly outside the expected range. What should you do first?
[Review: Reading the body's data: study types, sample size, and the t-test] What is the purpose of an experiment measuring blood glucose after giving a drug or a placebo?
Where should you locate information on the maintenance history of a glucometer?
Go further and get help
Where this leads: careers
What to do if you were absent
If YOU are absent

Today is individual work you can do from home: complete the same target above, then submit your CER.

Open the drop folder

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.

If MR. MENDOZA is absent

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 Statistics and Probability
How this is graded
For: CER: Problem 2 CER analysis mini-report: specific claim, statistical evidence with values, reasoning, and at least two honest limitations.
  • Complete
    Every required part of the artifact is present, nothing left blank.
  • Accurate
    The science and the data are correct and match the evidence.
  • Scientific reasoning
    You explain your claim with evidence and reasoning (CER), not just an answer.
  • Professional communication
    Clear, organized, labeled, and written the way a clinician or scientist would.
  • Submitted
    Turned 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.