Statistics lab analysis
Analyze your physiology dataset using descriptive statistics and a comparison test.
Spreadsheet statistical analysis: summary statistics per condition, t-test result with interpretation, and reproducible step documentation.
- 1Do thisAnalyze your physiology dataset using descriptive statistics and a comparison test.
- 2Use this resource
- 3Submit thisLab report: Spreadsheet statistical analysis: summary statistics per condition, t-test result with interpretation, and reproducible step documentation.
- 4Submit it here
- 1CMSD website. Go to clevelandmetroschools.org and click the Clever button.
- 2Clever. Clever opens. Sign in if it asks.
- 3Microsoft (district) login. Use your district Microsoft account (the one for school).
- 4Schoology. Open Schoology, then your class, then Assignments, and find the file named below.
The file to submit is named: Biotechnology for Health (Biomedical Innovations) › Bias, error, graph choice, CER conclusion, limitations. › Lab reportOpen Schoology
- 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 — you open it through Schoology.
Minute-by-minute · 80-minute block
💡 Big idea: A statistical analysis is only as trustworthy as the steps you took to produce it -- reproducibility is not optional in scientific reporting.
- 0-10Open the spreadsheet dataset and verify it matches your submitted data table
- 10-30Compute summary statistics for each condition: mean, SD, and count
- 30-55Run or interpret a t-test comparing the two conditions; record the result and what it means
- 55-65State whether the difference is statistically meaningful and explain in plain language
- 65-77Record all analysis steps so they are reproducible; submit the completed analysis
- 77-80Exit check: what would change in your conclusion if your sample size had been twice as large?
- • Today you run the full statistical analysis on your physiology dataset.
- • You will use a spreadsheet to compute summary statistics and run or interpret a t-test.
- • Every step must be documented so the analysis can be reproduced -- undocumented analysis is not publishable.
- • Statistical analysis appears directly in the Molecular and Genetic Technology and data-skills strands of WebXam 072125.
- 1Compute summary statistics for each condition in a spreadsheet.
- 2Run or interpret a t-test comparing your conditions.
- 3Determine whether the difference is statistically meaningful.
- 4Record the analysis steps so they are reproducible.
- 5Submit your completed statistical analysis.
- • Your analysis reports statistics and a comparison result.
- • You can state whether a difference is statistically meaningful.
- • How to compute summary statistics for each condition in a spreadsheet and interpret what they mean.
- • How to run or interpret a t-test and state whether the result is statistically meaningful.
- • Why recording every analysis step enables someone else to reproduce your result.
Your PLTW work today
Bias, error, graph choice, CER conclusion, limitations. · Statistics lab analysis
Day 3 of this lesson. Open this exact section in myPLTW (reached through Schoology), then do the work below.
Do this: Open Problem 2 in your myPLTW course shell and locate the statistics-analysis or data-interpretation activity to review the spreadsheet format and t-test guidance.
Mark the statistics-analysis lab activity complete in your tracker after submitting your analysis.
The graph draft is done; by end of today your full statistical analysis with summary stats, t-test result, and reproducible steps should be submitted.
Spreadsheet with computed summary statistics, t-test result, and reproducible steps recorded, submitted to Schoology.
All PLTW activities are completed inside the PLTW course environment — this page only gives direction. Submit producibles on Schoology.
Today's PLTW tracker
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 on Schoology.
Use the code Mr. Mendoza gave you, not your name. Saved on this device.
Bias, error, graph choice, CER conclusion, limitations. · Statistics lab analysis
Open Problem 2 in your myPLTW course shell and locate the statistics-analysis or data-interpretation activity to review the spreadsheet format and t-test guidance.
The graph draft is done; by end of today your full statistical analysis with summary stats, t-test result, and reproducible steps should be submitted.
This is how Mr. Mendoza sees the class keeping pace with PLTW. Be honest, it only helps if it is accurate.
🎯 Analyze your physiology dataset using descriptive statistics and a comparison test.
- Compute summary statistics for each condition in a spreadsheet.
- Run or interpret a t-test comparing your conditions.
- Determine whether the difference is statistically meaningful.
- Record the analysis steps so they are reproducible.
- Submit your completed statistical analysis.
Lab report: Spreadsheet statistical analysis: summary statistics per condition, t-test result with interpretation, and reproducible step documentation.
Submit on SchoologyUpload by 11:29 PM for full credit.
| Task | Who |
|---|---|
| Compute summary statistics for each condition in a spreadsheet. | _______ |
| Run or interpret a t-test comparing your conditions. | _______ |
| Determine whether the difference is statistically meaningful. | _______ |
| Record the analysis steps so they are reproducible. | _______ |
| Submit your completed statistical analysis. | _______ |
Working solo? Put your own name in "Who" for every row.
- Your analysis reports statistics and a comparison result.
- You can state whether a difference is statistically meaningful.
Teacher-posted resources
Classroom documents for this lesson. Ones marked “Open the file” open right here; the rest are posted in Schoology. Use the label on each card to choose the right move.
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).
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).
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 the CMSD website, click Clever, sign in with your Microsoft (district) account, then open Schoology from Clever.
Lab & supplies
WebXam practice
Cumulative WebXam review
A quick mixed-review pulling questions from earlier units plus today, so the WebXam material stays fresh.
Where this leads — careers
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.
What to do if you were absent
Complete the statistics analysis on your spreadsheet dataset: compute summary statistics, run or interpret a t-test, and record reproducible steps with the result.
Khan Academy Statistics and ProbabilityThen submit your Lab report on Schoology.
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- 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 (Schoology for routine work) and confirmed.
Drop your Fri, Mar 5, 2027 · Statistics lab analysis here. Use a clear file name (your initials + project). Routine work still goes to Schoology (via the CMSD portal).
Upload a project