A histogram is a graphical representation of the distribution of numerical data. It consists of a series of contiguous, non-overlapping rectangles, each of which represents a class interval and the area of each rectangle is proportional to the frequency of the class it represents.
When interpreting a histogram, you can analyze the shape, center, and spread of the data. A symmetrical distribution will have a similar number of data points on either side of the center, while a skewed distribution will have a longer tail on one side. The spread of the data can be inferred from the width of the bars and how the data is distributed across the class intervals.
Here are some key points to remember when working with histograms:
With this understanding and practice, you'll be able to effectively work with histograms and gain insights into the distribution of numerical data.