As a Project Manager, which technique is best for comparing on-time delivery percentages across teams?

• A. Hypothesis Testing
• B. Histograms
• C. Pareto chart
• D. Box Plots

Answer: (D)

Box plots are particularly effective for comparing on-time delivery percentages across teams because they visually represent the distribution of the data, allowing for a straightforward comparison. They show the median, quartiles, and potential outliers within the data set, which helps in understanding not just the central tendency of on-time delivery percentages but also the variability and range among different teams.

By displaying this information in one graphical representation, box plots enable project managers to quickly assess whether one team consistently delivers on time compared to others, highlight significant differences, and identify outlier performances that may require further investigation. This holistic view supports better decision-making regarding resource allocation and performance improvement strategies.

In contrast, while histograms can show the frequency distribution of on-time delivery percentages, they may not effectively summarize comparative aspects among multiple teams as clearly as box plots do. Hypothesis testing focuses on statistical significance rather than visual comparison. A Pareto chart, while useful for prioritizing issues based on frequency, does not directly aid in comparing distributions like box plots do.