Vaccine data CER analysis
Tue, May 4, 2027 · Week 16 · Human Anatomy & Physiology (Human Body Systems)
Today's goal: Analyze vaccine and antibody data and write a CER about immunity.
This is a model of the work you should turn in today. Use it to check your own: match the structure and the level of detail, do not copy it. Your data and wording should be your own.
Parallel scenario (NOT today's prompt): A person once exposed to tuberculosis bacteria gets a Mantoux skin test. A tiny amount of TB protein is injected just under the skin, and 48 hours later a nurse measures the induration, the firm raised bump, in millimeters. A second person who has never been exposed to TB gets the same test. The results table shows: exposed person, 15 mm of induration; never-exposed person, 0 mm. Read the data and write a CER about immune memory.\n\nClaim: The skin-test data show that the previously exposed person carries lasting immune memory for the TB bacteria, while the never-exposed person does not.\n\nEvidence: At the same 48-hour reading, the exposed person developed 15 mm of induration at the injection site. The never-exposed person developed 0 mm of induration under identical test conditions.\n\nReasoning: The first exposure to TB caused the immune system to make memory T cells specific to that bacterium. When the test reintroduced the TB protein, those memory T cells recognized it and triggered a fast, localized response that pulled immune cells and fluid into the area, producing the firm 15 mm bump. The never-exposed person had no matching memory T cells, so nothing recognized the protein and no reaction formed, which is why the induration measured 0 mm. The difference in millimeters is the visible signature of cell-mediated immune memory: a measurable reaction means the body has met this antigen before.\n\nLimitation: A single induration measurement shows that memory exists, but it does not reveal how strong the protection is or how long it will last, and it cannot by itself distinguish past infection from a prior TB vaccine. Reactions can also vary from person to person, so one reading is not proof of full immunity.
This model shows the level of evidence and organization needed to complete: Models the immunity-analysis CER format on a different data set: a claim, two quantitative data points read from a table, cell-mediated memory reasoning, and one limitation of the data. Use it as a format-and-depth guide, then build your own CER from today's antibody graph.
- 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 Schoology.
Turn in: Worked CER on a parallel case (TB skin-test reading)
Go to Schoology to turn this in.
Submit one PDF. Put your first and last name in the document header. Name the file: FirstName LastName - Assignment Title - YYYY-MM-DD.pdf.
Open Schoology PDF upload helpIf you cannot get in, see Mr. Mendoza. Do not skip the work.
Claim ceiling: Today's evidence supports a classroom claim about vaccine data CER analysis. It cannot prove causation, diagnose a real patient, or justify action outside this room.
One exam-style question that uses exactly what you practiced today. Try it before you reveal the answer, then read why each choice is right or wrong.
Tap an answer to see the full explanation. Nothing is recorded or graded.
It builds this reusable test skill: Interpreting a post-vaccination antibody graph.
- Name the concept or data pattern being tested.
- Cross out choices that violate that rule or the evidence.
- Justify the best remaining choice before checking the answer.

