This text investigates the mathematical principles and practical applications of organizing quantitative data into grouped frequency distributions. Lee Ann Seymour provides a structured examination of how researchers and students can condense large datasets into manageable intervals to identify patterns and central tendencies. The work serves as a methodological guide for interpreting statistical information through the lens of frequency tables and histograms. By establishing clear criteria for interval selection and class width, the author outlines the logical framework required for accurate data representation.

Experts identify this work as a practical resource for students navigating introductory statistics courses. Readers frequently note the clarity of the instructional examples provided throughout the text.