diff --git a/didactic/scripts/binomial_figure.py b/didactic/scripts/binomial_figure.py
new file mode 100644
index 00000000..3f6dd4ab
--- /dev/null
+++ b/didactic/scripts/binomial_figure.py
@@ -0,0 +1,30 @@
+def main():
+    """Script that takes a number of trials and a probability of success and plots the binomial distribution.
+
+    Note: The plot of the binomial distribution is produced using ``seaborn.objects.Bars`` which is more appropriate
+    for continuous histograms.
+    """
+    import argparse
+    from pathlib import Path
+
+    import numpy as np
+    import scipy.stats as stats
+    import seaborn.objects as so
+
+    parser = argparse.ArgumentParser(description="Plot a binomial distribution.")
+    parser.add_argument("--n", type=int, default=6, help="Number of trials.")
+    parser.add_argument("--p", type=float, default=0.4, help="Probability of success.")
+    parser.add_argument("--output_name", type=Path, default="binomial_distribution.svg", help="Output file name")
+    args = parser.parse_args()
+
+    # Compute the binomial distribution
+    x = np.arange(args.n)
+    y = stats.binom.pmf(x, args.n, args.p)
+
+    # Plot the binomial distribution
+    plot = so.Plot(x=x, y=y).add(so.Bars()).label(x="k", y="p(k)")
+    plot.save(args.output_name, bbox_inches="tight")
+
+
+if __name__ == "__main__":
+    main()