What Can Your High School's College Scattergram Actually Tell You?
A school scattergram can help you understand past application outcomes for students represented in that data. It cannot, by itself, establish your child's chance of admission or show that a selective major is likely for them.
This page is about what a high-school scattergram can and cannot show, especially for a selective major. Broader local outcomes are in Peninsula High School College Outcomes.
Use this page if a scattergram looks encouraging and you need to know which comparisons it can support before you label a selective major likely.
Use the graph to generate better questions. Before turning an encouraging cluster into a college-list label, find out what the plot includes, what it leaves out and whether the earlier applicants followed the same admission pathway.
Quick navigation
- Identify what is on the graph
- Ask what the points do not show
- Work through a fictional example
- Combine the graph with current evidence
- Use uncertainty constructively
- Bring a specific question to the counselor
- Why nine out of twelve becomes a percentage
Identify what is on the graph
Read the axes and legend. Which GPA is displayed? Are test scores included, and are missing scores treated differently? Which outcomes and application years appear? Does the view distinguish an application round or another relevant category?
Scoir's explanation of scattergrams describes historical school outcomes and notes that school policies affect what users can see. It also cautions against treating its tools as predictions of admission results. Check your own school's setup rather than assuming every family sees the same information.
Ask what the points do not show
A nearby point may belong to a student who applied to a different major or college within the university. It may also represent a different application year, residency category or set of circumstances. The graph may not supply enough information to distinguish those cases.
Do not infer missing details about identifiable students. Ask the school counselor how the data should be interpreted and which limitations are known.
| Question | Why it matters |
|---|---|
| Which years are included? | Policies, applicant pools and program capacity can change |
| What GPA definition is used? | Your student's number must be comparable |
| How many relevant applications are shown? | A small group can look more reassuring than it warrants |
| Are majors or admission units distinguished? | Overall history may not describe the desired program |
| Are all outcomes recorded? | Missing results can affect the picture |
| What context is unavailable? | Unknown factors should remain unknown |
Work through a fictional example
Imagine a plot with 12 past applicants near a student's displayed academic profile. Nine received offers. The student wants a capacity-limited computing program, but the graph does not identify the earlier applicants' majors.
The defensible conclusion is that some past applicants with nearby plotted values received offers. The graph does not establish that nine comparable applicants entered this particular computing program. It also does not provide a personal 75% admission probability.
The next research step is to determine how the university admits students to that program and whether relevant program-level information is available. If the missing detail cannot be established, keep the program classification uncertain.
This example uses invented numbers. It is a demonstration of interpretation, not information about any Bay Area high school or college.
Combine the graph with current evidence
Read the official admission policy for the intended major, college or pathway. Check whether students enter the desired program directly or face another selection step after enrollment. Investigate alternate-major and change-of-major rules before assuming they provide a fallback.
Then review the student's actual record: coursework, preparation and circumstances that a two-axis plot cannot summarize. A counselor can help identify which comparisons are meaningful and which require information you do not have.
The task is not to find a second tool that gives the desired answer. It is to document the evidence and its limits well enough to make a reasonable list decision.
Use uncertainty constructively
If a college remains uncertain for the intended program, it may still belong on the list. The family needs to know what other options provide a researched academic path, a workable cost and a student-approved experience.
Avoid building the list around several versions of the same unresolved assumption. If every reassuring school history concerns overall university admission while the student wants restricted programs, the list may contain less practical variety than it appears to.
Bring a specific question to the counselor
Try: "We see encouraging outcomes near this profile. Which parts of the comparison are valid for this major and cycle, and which are not visible in the data?"
Record the answer and the current official sources in the College List Research Template. For the broader question of interpreting local school outcomes, read Peninsula High School College Outcomes.
Leave the meeting with a documented next step or a clearly stated uncertainty. That is more useful than a reassuring label that the available evidence cannot support.
Why nine out of twelve becomes a percentage
The family in the example can see nine offers among twelve nearby points. The list spreadsheet has a cell that wants a label, and a percentage is the fastest thing to type. Nine divided by twelve feels like a calculation, so it looks more careful than a hunch.
The mistake happens because the plot has no column for major, year, or admission unit. The eye groups nearby points into one decision. The spreadsheet then asks for one word. Nothing on the graph stops "75 percent" from being written down.
Write the sentence the graph can support: some past applicants with nearby plotted values received offers. In the next cell, write what it cannot support, including the computing program and a personal probability. If that second cell is doing all the work, the program stays uncertain on the list.
When you want help reading your school's graph against a specific program, request a free consultation.