2: Frequency Distributions, and Graphs — Read

From LibreTexts, under CC BY-SA 4.0, as the source states it; its equations are written in TeX, which the PDF shows typeset. This page at LibreTexts.

2.1: Qualitative Data
In this section, qualitative (categorical) data is explored, representing non-numerical categories such as colors, brands, or types. Graphs like bar graphs, Pareto charts, and pie graphs are used to visualize this data. These tools help highlight frequencies, proportions, and key patterns among categories.
2.2: Quantitative Data
In this section, grouped frequency distributions are used to organize data into intervals, simplifying large data sets. Graphs like histograms, frequency polygons, and ogives help visualize this data. These tools reveal patterns, trends, and cumulative totals for better interpretation.
2.3: Other Graphical Representations of Data
In this section, additional statistical graphs are introduced to show data structure and relationships. These include stem-and-leaf plots, scatter plots, dot plots, and time series graphs. Each graph helps visualize patterns, trends, and distributions across various data types.
2.4: Chapter 2 Formulas
This section contains the key formulas for Chapter 2 material. These formulas cover essential concepts such as frequency distributions, relative frequency, class boundaries, midpoints, and graphs.
2.5: Chapter 2 - Key Terms and Symbols
This section presents the key terms and symbols from Chapter 2 to help readers understand and reference the foundational concepts more easily.

This page titled 2: Frequency Distributions, and Graphs was last modified on Thu, 14 Aug 2025 20:31:33 GMT and is shared under a CC BY-SA 4.0 license and was authored, remixed, and/or curated by Toros Berberyan, Tracy Nguyen, and Alfie Swan.

Contents