Traffic data in metropolitan areas show bimodal patterns with morning and evening commutes. Which plot is most appropriate to visualize this distribution?

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Multiple Choice

Traffic data in metropolitan areas show bimodal patterns with morning and evening commutes. Which plot is most appropriate to visualize this distribution?

Explanation:
Visualizing how a continuous variable is distributed to reveal clustering and multiple peaks is best done with a histogram. In traffic data, the two peaks correspond to morning and evening rush hours, so a histogram will display two distinct bumps along the axis representing the variable (such as time of day or travel time). The x-axis shows ranges, and the y-axis shows how many observations fall into each range, making bimodality immediately visible as two highs. A box-and-whisker plot summarizes central tendency and spread but hides the fine shape of the distribution, so it often misses two distinct peaks. A pie chart splits data into categories and isn’t suited for showing the distribution of a continuous variable. A stacked column chart compares categories across groups, which can obscure the overall distribution shape rather than reveal how values are distributed across the entire range.

Visualizing how a continuous variable is distributed to reveal clustering and multiple peaks is best done with a histogram. In traffic data, the two peaks correspond to morning and evening rush hours, so a histogram will display two distinct bumps along the axis representing the variable (such as time of day or travel time). The x-axis shows ranges, and the y-axis shows how many observations fall into each range, making bimodality immediately visible as two highs.

A box-and-whisker plot summarizes central tendency and spread but hides the fine shape of the distribution, so it often misses two distinct peaks. A pie chart splits data into categories and isn’t suited for showing the distribution of a continuous variable. A stacked column chart compares categories across groups, which can obscure the overall distribution shape rather than reveal how values are distributed across the entire range.

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