Here's an example of what's due today

Physiology sensor lab

Thu, Mar 4, 2027 · Week 7 · Biotechnology for Health (Biomedical Innovations)

Today's goal: Collect physiological data using sensors under controlled conditions.

Learn first

What a finished product looks like

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.

Raw physiology data table (heart rate vs activity)
Completes: Completes the Problem 2 sensor-lab data-collection step: a structured raw data table of repeated, controlled physiology trials ready for analysis.

Research question: Does light activity raise resting heart rate?

Sensor: pulse/heart-rate sensor, calibrated against a 60-second manual pulse count before trial 1.

Conditions controlled: same subject (Subject A), seated for baseline, same room temperature, 2-minute rest between trials.

I recorded five repeated trials for each condition and logged every reading separately rather than averaging in my head:

  • Baseline (resting), trials 1-5: 72, 70, 74, 71, 73 bpm
  • Treatment (after 1 min stepping), trials 1-5: 96, 99, 94, 101, 98 bpm

Condition-control note: I kept the subject, sensor placement, and rest interval the same across all trials so that the only thing changing was rest vs light activity. That is what lets me trust a difference if I find one.

TrialConditionHeart rate (bpm)
1Baseline rest72
2Baseline rest70
3After stepping96
4After stepping99
5After stepping94
Physiology data table with trial number, condition (baseline rest vs after stepping), and heart rate in bpm.
Why this matters

This model shows the level of evidence and organization needed to complete: Completes the Problem 2 sensor-lab data-collection step: a structured raw data table of repeated, controlled physiology trials ready for analysis.

Build yours step by step
  1. Name the variables and include units.
  2. Enter observations without changing the raw values.
  3. Check labels, calculations, and patterns before interpreting the data.
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 your raw data table on Schoology before leaving the lab area.

Turn in: Raw physiology data table (heart rate vs activity)

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 help

If you cannot get in, see Mr. Mendoza. Do not skip the work.

Claim ceiling: Today's evidence supports a classroom claim about physiology sensor lab. It cannot prove causation, diagnose a real patient, or justify action outside this room.

Check yourself

WebXam problem for today's skill

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.

WebXam-style domain: Laboratory Standard Operational ProceduresSelf-check skill: Following a sensor SOP: calibration and repeated controlled trials
A student is about to record heart-rate data with a physiology sensor. Following good laboratory standard operating procedure, what should the student do FIRST before recording any trial readings?

Tap an answer to see the full explanation. Nothing is recorded or graded.

Why this practice matters

It builds this reusable test skill: Following a sensor SOP: calibration and repeated controlled trials.

Use it on a new WebXam question
  1. Name the concept or data pattern being tested.
  2. Cross out choices that violate that rule or the evidence.
  3. Justify the best remaining choice before checking the answer.