Interpreting data from histograms and frequency distributions means understanding how values in a dataset are spread across different ranges. These tools help you see patterns, identify where most values lie, and spot any unusual data.
A frequency distribution is a table that shows how often each value (or range of values) occurs. A histogram is a visual version of this—a bar chart where each bar represents a range of values and its height shows how many times those values appear.
When looking at a histogram, pay attention to:
The tallest bars: These show where most of the data is concentrated.
The shape: Is it symmetrical, skewed to one side, or has multiple peaks?
The spread: Are the values close together or spread out widely?
Outliers: Are there any bars far away from the rest?
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