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Histograms and Data Organization

Sep 3, 2025

Overview

This lecture explains histograms, demonstrates how to construct them, and clarifies how intervals (bins) are organized and labeled.

Understanding Histograms

  • A histogram is a bar graph representing a frequency distribution of data.
  • The width of each bar shows the data interval (bin), and the height shows the frequency (count) in that interval.
  • Histogram bars have no spaces between them, unlike bar charts.
  • All bins (intervals) typically have equal width.
  • The vertical axis always shows frequency.

Building a Histogram

  • To construct a histogram, first organize data into a frequency table with set intervals (bins).
  • Tally each data point into its corresponding interval/bin.
  • Write down the frequency (count) for each bin.
  • On the graph, the horizontal axis shows the bins, and the vertical axis shows their frequencies.
  • Draw bars for each bin with heights equal to their frequencies.

Example: Gas Mileage Data

  • Data from 20 cars was grouped into 7 bins with the following frequencies: 2, 4, 5, 4, 2, 2, 1.
  • The mode (most frequent interval) was 20–24 miles per gallon.

Bin Boundaries and Inclusion

  • When bins are next to each other with no gaps, the right endpoint of an interval is not included.
  • For example: [60, 65) means 60 is included, but 65 is not; 65 is included in the next interval [65, 70).
  • Always check how bin boundaries are defined when reading histograms.

Key Terms & Definitions

  • Histogram — A bar graph for showing frequency distributions with no gaps between bars.
  • Frequency — The count of data points within a specific interval/bin.
  • Bin (Interval) — A range of data values grouped together on the horizontal axis.
  • Mode — The interval/bin with the highest frequency.
  • Interval Notation [a, b) — Includes a but excludes b; used to define bin boundaries.

Action Items / Next Steps

  • Practice constructing histograms from raw data and interpret bin boundaries correctly.
  • Review creating frequency tables as groundwork for making histograms.