Statistics Chapter 2 (2025/2026) – 40 Exam Questions on Frequency Tables, Class Boundaries, Relative Frequencies & Data Interpretation

This focused review for Chapter 2 of the 2025/2026 Statistics curriculum presents 40 expertly designed exam questions with fully accurate, A+ rated answers. It offers an in-depth walkthrough of core topics surrounding frequency distributions, data visualization, and statistical description of data. The content is especially useful for students who need to master both theoretical understanding and practical application of organizing raw data. Topics explored in the document include: Center, variation, distribution shape, outliers, and time-based data changes Construction and interpretation of frequency tables (also known as frequency distributions) Definitions and computations of lower and upper class limits, class width, class boundaries, and class midpoints Step-by-step procedures for constructing clear and accurate grouped frequency distributions Use of relative frequencies and how to check for errors in distributions (e.g., verifying that relative frequencies sum to 100%) Application-based exercises that require identification of errors in data summaries (e.g., flawed histogram groupings or class overlaps) Real-world datasets requiring critical thinking and precise calculation of values from grouped data This document is particularly helpful for: Students in Introductory Statistics, Data Analysis, or Business Statistics Learners studying for AP Statistics, or statistical modules in Psychology, Sociology, Public Health, or Education Test-takers preparing for exams involving quantitative reasoning and graphical interpretation of data Anyone aiming to improve their understanding of data classification, representation, and frequency-based analysis The question-answer format helps reinforce key vocabulary and formulaic approaches in a practical, exam-relevant style, ensuring students are ready to confidently tackle frequency-based statistical questions. Keywords: frequency table, frequency distribution, class limits, class boundaries, class width, class midpoint, center of data, variation, distribution, outlier, relative frequency, data visualization, histogram, grouped data, data summary, descriptive statistics, data intervals, class construction, statistical interpretation