diff --git a/recipes/001_first.py b/recipes/001_first.py
index 91fbaa4b..47d0c56a 100644
--- a/recipes/001_first.py
+++ b/recipes/001_first.py
@@ -113,6 +113,6 @@ def objective(trial: optuna.trial.Trial) -> float:
 ###################################################################################################
 # In the above examples, search space is estimated at the first trial and updated dynamically through optimization.
 # If you pass the search space to the sampler, you can avoid the overhead of estimating the search space.
-sampler = MySampler({"x": optuna.distributioins.FloatDictribution(-10, 10)})
+sampler = MySampler({"x": optuna.distributions.FloatDictribution(-10, 10)})
 study = optuna.create_study(sampler=sampler)
 study.optimize(objective, n_trials=100)