What This Document Is
These are notes compiled to assist students preparing for the first exam in James Madison University’s Elementary Statistics (MATH 220) course. The notes cover foundational concepts related to data types and methods for displaying both categorical and numerical data, as well as introductory ideas about measures of central tendency.
Why This Document Matters
This study guide is intended for students currently enrolled in MATH 220 who are reviewing material for their first exam. It serves as a concise recap of key lecture topics, helping students identify areas for further study and reinforce their understanding of core statistical concepts. It’s most useful when used *in conjunction with* course lectures, textbook readings, and homework assignments.
Common Limitations or Challenges
This document is a *summary* of course material, not a replacement for active learning. It does not include practice problems, detailed explanations of statistical reasoning, or comprehensive coverage of all possible exam questions. It also assumes familiarity with basic mathematical concepts. This preview does not include the section on describing the center of a data set (mean, median, and word problems).
What This Document Provides
The full document includes:
* Definitions and examples of categorical and numerical data.
* Explanations of how to create and interpret frequency distributions, bar charts, and pie charts for categorical data.
* Methods for displaying numerical data using dot plots, stem-and-leaf plots, and histograms.
* Guidance on constructing histograms, including determining the number of intervals and interval width.
* An overview of how to interpret the shape of a histogram.
* A discussion of special cases for histograms (no grouping, one bar per number, discrete data with small spread).
