Semester 2 (Spring) Β· Week 10Mar 23–25

Data tables, graphical claims, variables, outliers, correlation vs causation.

What to do if absent
Color keyLearn firstGet orientedDo the workLab daySafety netCheck yourself
Quick glossary
CER:
Claim, Evidence, Reasoning β€” make a claim, back it with evidence, explain your reasoning.
SOP:
Standard Operating Procedure β€” 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 β€” you open it through Schoology.
Learn first

Week overview - Reading the Data: graphs, trends, outliers, and correlation vs causation

Mar 23–25

Turn an environmental data table into a clear graph, describe the trend, flag outliers, and judge whether the data shows correlation or causation.

Week arc
  1. 1Choose an environmental data table and identify the independent and dependent variables.
  2. 2Sketch axes with labels and units, then plot the points carefully.
  3. 3Describe the overall trend in one sentence (rising, falling, or flat).
  4. 4Circle any outlier and write one possible reason it does not fit the pattern.
  5. 5Write one claim your graph supports and add the words because the data shows.
  6. 6Decide whether your graph proves causation or only shows correlation, and explain why in a sentence.
By week end
  • β€’ You will be able to build a properly labeled graph from a data table.
  • β€’ You will be able to describe a trend and flag outliers.
  • β€’ You will be able to tell correlation apart from causation.
The plan

Daily lessons this week

Open any day for its full lesson, the work due that day, and guided notes.

WednesdayTue, Mar 23
Graph draft

Clean labeled data table plus a drafted graph with titled and scaled axes, outlier notes, and one trend sentence.

ThursdayWed, Mar 24
CER paragraph

CER paragraph with a specific claim supported by cited graph data, reasoning linking evidence to claim, a correlation/causation classification with justification, and one alternative explanation.

FridayThu, Mar 25
Claim graph submit

Finalized claim graph package: labeled data table, graph with titled scaled axes, CER paragraph, data-source citations, and outlier notes.

Get oriented

Quick intro to the week

  • Hook: the same data can tell the truth or mislead depending on how the graph is built.
  • Today's goal: make an honest graph and defend exactly one claim it supports.
  • Monday bioethics debate connects: is a misleading graph a lie even if every number is correct?
  • Reminder: your graded graphing packet is submitted in the PLTW course shell.
Do the work

Your PLTW coursework this week

Do this: Advance your PLTW environmental problem by completing the data-analysis and graphical-claim section in the online course shell.

Know when done
  • β€’ A graph must have labeled axes with units to support a claim.
  • β€’ Correlation between two variables does not prove one causes the other.
Be able to do
  • β€’ Build and label a graph from a data table.
  • β€’ Distinguish a correlation from a causal claim.

πŸ“‹ PLTW evidence due: a labeled graph, a written trend description, and a correlation-versus-causation judgment in the course shell.

All PLTW activities are completed inside the PLTW course environment β€” this page only gives direction.

The plan

This week's PLTW tracker

Your week at a glance. Check off each deliverable as you finish it, then submit so Mr. Mendoza can see how the class is pacing.

Use the code Mr. Mendoza gave you, not your name. Saved on this device.

DayDateFocusKey deliverable
WednesdayTue, Mar 23Graph draft Clean labeled data table plus a drafted graph with titled and scaled axes, outlier notes, and one trend sentence.
ThursdayWed, Mar 24CER paragraph CER paragraph with a specific claim supported by cited graph data, reasoning linking evidence to claim, a correlation/causation classification with justification, and one alternative explanation.
FridayThu, Mar 25Claim graph submit Finalized claim graph package: labeled data table, graph with titled scaled axes, CER paragraph, data-source citations, and outlier notes.
Check off as you finish
  • M: no school
  • T: no school
  • W: graph draft
  • Th: CER paragraph
  • F: claim graph submit

Due by week's end: Environmental claim graph.

Where are you this week?0/5 checked
Pick your period and code first.
Safety net

What to do when absent

If YOU are absent

Most days, this class is your PLTW coursework β€” and PLTW is online and individual. So being out usually just means doing exactly what we did in class, from home.

Open Schoology (CMSD) and keep going

How to get there: open the CMSD website, click Clever, sign in with your Microsoft (district) account, then open Schoology from Clever.

Was today a lab or a group activity?

You can't do those from home β€” do this instead: Graphing packet.

If MR. MENDOZA is absent

Class still runs. A substitute will post today's plan β€” 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
Words

Vocabulary

graphtrendoutliererrorcorrelationcausation
Explore

Teacher-posted resources

Classroom documents for this lesson. Ones marked β€œOpen the file” open right here; the rest are posted in Schoology. Use the label on each card to choose the right move.

Use during lessonFor: Everyone
BI Activity 4.1.1 Environmental Exposures
worksheet/handoutOpens here
Open the file

Open this when the class reaches this activity and use it to complete the required lesson artifact.

Placement rationale

Matched Environmental data graphing and analysis by path:Biomedical-Innovations/Problem-4_Environmental-Health/4.1_Environmental-Health; keywords:environmental. Score 134. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

Catch-up / reteachFor: Need extra support
BI 4.1.1 Tox Town Concept Map (Williams Family)
worksheet/handoutOpens here
Open the file

Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.

Placement rationale

Matched Environmental data graphing and analysis by path:Biomedical-Innovations/Problem-4_Environmental-Health/4.1_Environmental-Health; keywords:environmental. Score 130. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

Catch-up / reteachFor: Need extra support
BI 4.1.2 Water Contamination Activity Overview
worksheet/handoutOpens here
Open the file

Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.

Placement rationale

Matched Environmental data graphing and analysis by path:Biomedical-Innovations/Problem-4_Environmental-Health/4.1_Environmental-Health; keywords:environmental. Score 130. 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.

Aligned to

Standards this week

β€’ Biotechnology for Health and Disease 072125 Β· 5.5 Laboratory Standard Operational Procedures
β€’ NGSS science & engineering practices: analyzing & interpreting data, argument from evidence
Check yourself

WebXam practice

Tap an answer to check it Β· nothing is recorded or graded
A researcher wants to show how an air pollutant's concentration changed over a 30-day period. Which graph type is most appropriate?
On a scatter plot of pollutant data, one point sits far away from the clear trend of all the others. This point is best described as:
Two variables rise together on a graph, but one does not cause the other. This illustrates which key idea in data analysis?
Why should error bars be included on a graph of repeated environmental measurements?
Submission Zone

Drop your Week 10 here. Use a clear file name (your initials + project). Routine work still goes to Schoology (via the CMSD portal).

Upload a project