STATISTICS

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.

UPDATED 2026-09-25
TYPELine
EXAMPLEBottle fill volume bell curve
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CASE ANALYSIS

Scenario

A quality team reviews bottle-fill consistency.

Key decisions

  • Center the process: Compare the peak with the target fill.
  • Assess spread: Watch how widely fills vary.
  • Set limits: Relate the distribution to specifications.

When to reuse this

Use for continuous manufacturing measurements collected in comparable conditions.

FAQ

Frequently asked questions

Why use a bell curve for fill volume?01
Fill volume is continuous data that can often be summarized by center and spread.
What does a shifted peak mean?02
It can indicate that the process average has moved away from the target.
Do specification limits appear automatically?03
No. Add the applicable limits to compare the process with its requirements.
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