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Relative frequency is the ratio of the frequency of a particular category to the total number of observations. It is expressed as a percentage and helps in understanding the proportion of data points that fall within specific intervals. In the context of the histogram, it indicates how often response times occur relative to the total response times recorded.

A histogram is a graphical representation of the distribution of numerical data, where the data is divided into intervals (bins) and the frequency of data points within each interval is represented by the height of bars. In this case, the histogram displays campus security response times, allowing for visual analysis of patterns such as central tendency and variability in response times.

Identifying patterns in data involves analyzing the distribution and trends within the dataset. In the histogram, patterns may include peaks (modes), gaps, or trends that indicate how response times are clustered. For instance, a higher relative frequency in certain time intervals suggests that those response times are more common, which can inform operational decisions for campus security.