When should a Histogram be used?

A Histogram is a graphical representation used to visualize the distribution of numeric data. It is particularly effective for displaying the frequency of different ranges of values in datasets. By using a Histogram, you can easily identify patterns such as the shape of the data distribution, central tendency, variability, and any outliers present within the data.

When dealing with numeric data, Histograms allow you to see how often different value ranges occur, thereby providing insight into the underlying structure of the data. This is essential for quality improvement processes as it helps in understanding performance and identifying areas for potential enhancement.

In contrast, the other options involve types of data where a Histogram is not applicable. Text data, like that in the first option, is qualitative and typically requires different forms of analysis, such as word clouds or frequency counts of individual words or phrases. Assessing customer feedback might also involve qualitative analysis, especially if feedback is open-ended, requiring thematic or sentiment analysis rather than a numerical distribution. Finally, anecdotal evidence is subjective and not quantifiable, making it unsuitable for a statistical tool like a Histogram.