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statistics · manufacturing

Bottle fill volume bell curve

This bell curve shows a bottling line whose fill volumes cluster around the 500 ml target. A narrow, centered distribution suggests consistent filling, while a curve shifted away from the target or spread too widely can signal adjustment or maintenance needs. The values here are relative frequencies for a teaching example, not a compliance result. In a live quality review, use measured fill data, specify the sampling period and plot the actual tolerance limits. The curve then becomes a quick visual for discussing process centering, variation and the risk of fills outside specification. It gives teams a concrete starting point for reviewing assumptions, data quality and next steps together.

Typ LiniendiagrammEngine echarts-lineAktualisiert 24.9.2026
Springfield bottling: 500 ml fills
Drawing preview
Die Anfrage

“Create a bell curve for Springfield bottling 500 ml fills from 488 to 512 ml in two-ml intervals, peaking at 500 ml with relative frequencies 1, 3, 7, 14, 22, 30, 34, 30, 22, 14, 7, 3 and 1.”

Dann probieren SieAdd specification limits at 490 ml and 510 ml.Change the center volume to 502 ml.
Was diese Zeichnung zeigt

Die dahinterstehenden Entscheidungen verstehen.

01Center the process

Compare the peak with the target fill.

02Assess spread

Watch how widely fills vary.

03Set limits

Relate the distribution to specifications.

Use for continuous manufacturing measurements collected in comparable conditions.

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FAQ

Häufige Fragen

Why use a bell curve for fill volume?

Fill volume is continuous data that can often be summarized by center and spread.

What does a shifted peak mean?

It can indicate that the process average has moved away from the target.

Do specification limits appear automatically?

No. Add the applicable limits to compare the process with its requirements.