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.
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.
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.
| Month | PM2.5 (ug/m3) |
|---|---|
| Jan | 14 |
| Feb | 13 |
| Mar | 12 |
| Apr | 11 |
| May | 9 |
| Jun | 35 (outlier, flagged) |
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.
- Name the variables and include units.
- Enter observations without changing the raw values.
- Check labels, calculations, and patterns before interpreting the data.
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: Endpoint table with the claim you predicted, your assigned known concentration, your endpoint well number, the blank result, and the pooled class results; a drafted calibration graph with titled and scaled axes; the coded unknown marked on the line with its estimated concentration; and one sentence stating how wide the estimate is and one named limitation of pooling data across teams that pipetted differently.
Go to Schoology to turn this in.
Submit one PDF. Schoology attaches your name to your upload; on the page itself, write your period and code. 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.
Claim ceiling: Original endpoint simulation illustrates dilution, graph choice and conditional bounds. It cannot establish any actual starch concentration, precision, health claim, authentic run or official completion.
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.
Tap an answer to see the full explanation. Nothing is recorded or graded.
It builds this reusable test skill: Handling an outlier and choosing a time-series graph.
- Name the concept or data pattern being tested.
- Cross out choices that violate that rule or the evidence.
- Justify the best remaining choice before checking the answer.