Here's an example of what's due today

Graph draft

Tue, Apr 13, 2027 · Week 13 · Biotechnology for Health (Biomedical Innovations)

Today's goal: Run a two-fold dilution series to its endpoint, then draft the calibration line that turns an endpoint into a concentration.

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.

Clean data table and drafted graph with outlier note
Completes: Completes the Problem 4 graph-draft step: an organized data table plus a drafted graph with titled, scaled axes, an outlier decision, and a one-sentence trend statement.

Data: monthly average air particulate (PM2.5) near a roadway, units micrograms per cubic meter.

Clean table columns: Month, PM2.5 (micrograms/m3).

Values: Jan 14, Feb 13, Mar 12, Apr 11, May 9, Jun 35.

Graph choice: line graph, because the variable (month) is time-ordered and I want to show change over time.

Axes: x-axis = Month; y-axis = PM2.5 (micrograms/m3), scaled 0 to 40. Title: 'Monthly Roadway PM2.5'.

Outlier: June (35) is far above the others. I flagged it rather than deleting it, and noted a possible cause (a nearby wildfire smoke event), so the reader can decide how to treat it.

Trend sentence: Particulate levels declined from January through May, then spiked sharply in June.

MonthPM2.5 (ug/m3)
Jan14
Feb13
Mar12
Apr11
May9
Jun35 (outlier, flagged)
Monthly PM2.5 data table declining from 14 to 9 then spiking to 35 in June, flagged as an outlier.
Why this matters

This model shows the level of evidence and organization needed to complete: Completes the Problem 4 graph-draft step: an organized data table plus a drafted graph with titled, scaled axes, an outlier decision, and a one-sentence trend statement.

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 data table and graph draft on Schoology today.

Turn in: Clean data table and drafted graph with outlier note

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 graph draft. 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: Handling an outlier and choosing a time-series graph
In a monthly air-quality dataset, one month's value is far higher than every other month. Following good data practice, what should you do with this outlier?

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

Why this practice matters

It builds this reusable test skill: Handling an outlier and choosing a time-series graph.

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.