Employee Commute Time Bell Curve

Employee commute time bell curve

This bell curve summarizes a hypothetical distribution of staff commute times at Northwind. Most observations are clustered near 40 minutes, while very short and very long commutes appear less often. The shape is useful for explaining the idea of a normal distribution, but it should not be treated as proof that every real commute dataset is normal. Plot the observed values or frequency bins first, then use a smooth bell curve only when the pattern is a reasonable approximation. The chart can support discussions of typical travel time, spread and outliers without exposing individual employee records. It gives teams a concrete starting point for reviewing assumptions, data quality and next steps together.

Type Graphique linéaireMoteur echarts-lineMis à jour 24/09/2026

La demande

“Create a bell curve for Northwind staff commute times from 10 to 70 minutes in five-minute intervals, peaking at 40 minutes with relative frequencies 1, 3, 7, 13, 21, 28, 31, 28, 21, 13, 7, 3 and 1.”

Essayez ensuiteAdd a vertical marker at 40 minutes.Change the title to Hybrid-team commute times.

Ce que contient ce dessin

Comprenez les décisions qui le sous-tendent.

01Set the measure

Use commute minutes on the horizontal axis.

02Find the center

Identify the most typical commute range.

03Watch tails

Note unusually long commutes.

Use when a continuous measure has a roughly symmetric distribution.

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FAQ

Questions fréquentes

What does the peak of a bell curve show?

It shows the most common range of values in the distribution.

Are all datasets bell-shaped?

No. Skewed, multi-peaked or bounded data may need a different chart.

What do the tails represent?

They represent values that occur less frequently than values near the center.