Here's an example of what's due today

Statistics lab analysis

Fri, Mar 12, 2027 · Week 8 · Biotechnology for Health (Biomedical Innovations)

Today's goal: Analyze your physiology dataset using descriptive statistics and a comparison test.

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.

Spreadsheet statistical analysis with t-test interpretation
Completes: Completes the Problem 2 statistics analysis: summary statistics per condition, a t-test result with interpretation, and reproducible step documentation.

Research question: Is the after-activity heart rate significantly higher than resting?

Summary statistics (from my spreadsheet):

  • Rest: mean 72.0 bpm, SD 1.6, n = 5
  • Activity: mean 97.6 bpm, SD 2.7, n = 5

Comparison test: two-sample t-test on rest vs activity means.

Result: t was large and the p-value was about 0.0001, well below 0.05.

Interpretation: Because p is less than 0.05, a difference this large would be unlikely if activity made no difference at all, so I treat the difference as real. Note what p does NOT say: it is not the probability that chance caused my result, and it says nothing about whether 25 bpm matters clinically.

Reproducible steps (so a classmate could repeat it):

1. Enter the five rest and five activity readings in two columns.

2. Use AVERAGE and STDEV on each column.

3. Use the T.TEST function (two-tailed, two-sample) on the two columns.

4. Compare the returned p-value to 0.05.

Why this matters

This model shows the level of evidence and organization needed to complete: Completes the Problem 2 statistics analysis: summary statistics per condition, a t-test result with interpretation, and reproducible step documentation.

Build yours step by step
  1. State the question and method.
  2. Present the observations and data with units.
  3. Explain the result, limitations, and next investigation.
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 completed statistical analysis spreadsheet on Schoology by end of period.

Turn in: Spreadsheet statistical analysis with t-test interpretation

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 statistics lab analysis. 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: Interpreting a t-test p-value against the 0.05 cutoff
A two-sample t-test comparing resting and activity heart rates returns a p-value of 0.0001. Using the common 0.05 significance level, what is the correct conclusion?

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

Why this practice matters

It builds this reusable test skill: Interpreting a t-test p-value against the 0.05 cutoff.

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.