If a histogram has most of its data concentrated in a few bins with very little data in the other bins, what can be concluded about the $spread$ of the histogram?

• A. The $spread$ is large because the data is evenly distributed across all bins.
• B. The $spread$ is small because most data values are close together.
• C. The $spread$ cannot be determined from a histogram.
• D. The $spread$ is always the same regardless of the histogram's shape.

Answer: (B)

Verified step by step guidance

1. Understand that the spread of data refers to how much the data values vary or are dispersed across the range of values.
2. Look at the histogram and observe where the data is concentrated. If most of the data is concentrated in a few bins, it means many data points are close to each other in value.
3. Recognize that when data points cluster tightly in a few bins, the variability or spread is low because the values do not cover a wide range.
4. Contrast this with a histogram where data is evenly spread across many bins, which would indicate a larger spread or greater variability.
5. Conclude that a histogram with most data concentrated in a few bins suggests a small spread, meaning the data values are close together.