Physiology measures, data collection, graphing, mean, SD, error.
Your PLTW coursework: Biomedical Innovation ▸ Problem 2: Exploring Human Physiology ▸ "Activity 2.1.2 Science and the Media"
What to do if absent- 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.
Collect physiological data with sensors, organize it in a spreadsheet, compute mean and , and explain when a t-test is appropriate.
- 1Decide whether your sensor activity is an experimental or and write why.
- 2Collect at least ten readings with the sensor so your is large enough to graph.
- 3Enter your readings into the spreadsheet, one value per row, with clear column headers.
- 4Use the spreadsheet to calculate the mean and of your readings.
- 5Make a graph that shows the spread of your data, not just a single average.
- 6Write one sentence explaining why a t-test would compare two groups of your data.
- • You will be able to tell an experimental study from an observational one.
- • You will be able to compute mean and from data.
- • You will be able to explain the purpose of a t-test.
Open any day for its full lesson, the work due that day, and guided notes.
Complete physiology : all trials labeled with conditions and units, summary statistics (mean and SD) per condition, and a one-line reliability assessment.
CER contribution arguing for a specific biometric-privacy safeguard in physiological research, plus two questions and a reflection on applying it to your own analysis.
Draft graph showing the physiology comparison with labeled axes, units, a title, and an annotated bias-and-error note.
Spreadsheet statistical analysis: summary statistics per condition, t-test result with interpretation, and reproducible step documentation.
- Hook: your own is a dataset, and learning to read it is how physiology becomes evidence.
- Today's goal: collect real sensor data and summarize it honestly with mean, spread, and a graph.
- Monday's bioethics debate on data ethics applies directly: whose body data is this, and who may use it?
- Reminder: your graded spreadsheet and analysis live in the PLTW course shell.
Do this: Advance PLTW Problem 2 by collecting and summarizing physiological sensor data in the online course shell.
- • Experimental studies manipulate a variable; observational studies only watch.
- • measures how spread out data are around the mean.
- • Compute mean and in a spreadsheet.
- • Explain when a t-test is used to compare groups.
📋 PLTW evidence due: physiology sensor spreadsheet with mean, , and a graph in the course shell.
All PLTW activities are completed inside the PLTW course environment: this page only gives direction.
Use this chart to keep your place. Nothing on it is turned in through the portal.
| Day | Work | Turn in |
|---|---|---|
| Monday · Mon, Mar 8 | Submit data table | Complete physiology data table: all trials labeled with conditions and units, summary statistics (mean and SD) per condition, and a one-line reliability assessment. |
| Tuesday · Tue, Mar 9 | Evidence for | |
| Wednesday · Wed, Mar 10 | Biometric-privacy debate | CER contribution arguing for a specific biometric-privacy safeguard in physiological research, plus two questions and a reflection on applying it to your own analysis. |
| Thursday · Thu, Mar 11 | Bias, error, graph choice | Draft graph showing the physiology comparison with labeled axes, units, a title, and an annotated bias-and-error note. |
| Friday · Fri, Mar 12 | Statistics lab analysis | Spreadsheet statistical analysis: summary statistics per condition, t-test result with interpretation, and reproducible step documentation. |
- W: data collection
- Th: graphing
- F:
Turn in: Physiology measures, data collection, graphing, mean, SD, error. weekly work due Physiology data table.
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.
4 panels from the illustrated semester.
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.
This explainer accompanies the PLTW lab protocol: watch it before lab.
Most days, this class is your PLTW coursework: and PLTW is online and individual. So being out usually just means doing exactly what we did in class, from home.
Open Clever, then myPLTWSign in to Clever with your district Microsoft account to open Schoology or myPLTW. Follow today's posted steps. If myPLTW will not open, use the posted alternative and tell Mr. Mendoza. Turn in your completed work through the Schoology assignment.
You can't do those from home: do this instead: Provided biometric dataset.
Class still runs. A substitute will post today's plan: complete the online activity above; it's built to be self-guided. Need the concept taught without a teacher? Use this authoritative explainer:
Khan Academy Statistics and Probability
Classroom documents for this lesson are posted in Schoology. Open Clever, then Schoology, and find each one by the name shown on its card.
Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.
Placement rationale
Matched Human physiology data and research design by path:Biomedical-Innovations/Problem-2_Human-Physiology/2.1_Human-Physiology; keywords:physiology, research design. Score 142. 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 Human physiology data and research design by path:Biomedical-Innovations/Problem-2_Human-Physiology/2.1_Human-Physiology; keywords:physiology, research design. Score 142. 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 Human physiology data and research design by path:Biomedical-Innovations/Problem-2_Human-Physiology/00_Problem-Overview; keywords:physiology, research design. Score 138. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Sign in to Clever with your district Microsoft account to open Schoology or myPLTW. Follow today's posted steps. If myPLTW will not open, use the posted alternative and tell Mr. Mendoza. Turn in your completed work through the Schoology assignment.