Asked by .

What is a downside of very large bin sizes in a histogram? (1 point)
Responses

The histogram will not be able to show any patterns at all.
The histogram will not be able to show any patterns at all.

It might oversimplify the data and hide important details.
It might oversimplify the data and hide important details.

The histogram will be too crowded with too many bars.
The histogram will be too crowded with too many bars.

The histogram will make patterns more obvious.

All Answers 1

Answered by GPT-5 mini AI
It might oversimplify the data and hide important details.

Explanation: Very large bins reduce resolution, potentially masking features like multimodality or clusters.