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Module 1 · Descriptive Statistics · Topic 8

Choosing the Right Chart

Match Data to Chart. The best chart depends on what you want to show and the type of data. Categorical comparisons call for bar charts. Distributions call for histograms or box plots. Relationships between two variables call for scatter plots.

Scatter Plot. A scatter plot displays pairs of quantitative values as points on an x-y plane. It is the primary tool for exploring the relationship (direction, form, strength) between two numerical variables.

Stem-and-Leaf Plots. A stem-and-leaf plot preserves individual data values while showing the shape of the distribution. The “stem” is the leading digit(s) and the “leaf” is the trailing digit. Useful for small data sets.

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Key formulas

From the Descriptive Statistics formula sheet

  • Mean: xbar = sum(x_i) / n — The arithmetic average of a data set.
  • Sample Variance: s^2 = sum((x_i - xbar)^2) / (n - 1) — Average squared distance from the sample mean with Bessel correction.

See the full formula reference

When to use it

Avoid Misleading Charts

Always start the y-axis at zero for bar charts (truncated axes exaggerate differences). Label axes clearly, include units, and avoid 3D effects that distort perception.

Related glossary terms

  • Outlier: A data point that is unusually far from the rest of the data. Example: In 2, 4, 5, 6, 50, the value 50 is a likely outlier.

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Related in-depth guides

  • Understanding Standard Deviation: What It Measures and Why It Matters7 min read
  • How to Choose the Right Statistical Test8 min read

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