A total of 20 men and 20 women volunteer to participate in a statistics project. The height and weight of each subject are given in the table. Draw one histogram for height of the subjects and a separate histogram for weight. Use different colors for men and women so that you can visually compare the distributions by sex and plot weights in 10-lb intervals (i.e., 90–99 lb, 100–109 lb, 110–119 lb, etc.).

Key Concepts

Histograms

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 context, histograms will be used to visualize the height and weight distributions of male and female subjects, allowing for easy comparison of these distributions.

Data Visualization

Data visualization is the graphical representation of information and data, which helps in understanding complex data sets by presenting them in a visual context. In this case, using different colors for men and women in the histograms will enhance the clarity of comparisons between the two groups regarding their height and weight distributions.

Statistical Intervals

Statistical intervals, such as the 10-lb intervals specified for weight, are ranges that group data points into categories for analysis. This method simplifies the data by summarizing it into manageable segments, making it easier to observe patterns and trends in the weight distribution of the subjects.