diff --git a/exercise_1_ga/genetic_algorithm.ipynb b/exercise_1_ga/genetic_algorithm.ipynb
index 993d5cc..12b48ad 100644
--- a/exercise_1_ga/genetic_algorithm.ipynb
+++ b/exercise_1_ga/genetic_algorithm.ipynb
@@ -234,7 +234,7 @@
     "Implement the `stochastic_one_point_crossover`-function to perform a one-point crossover on chromosomes.\n",
     "1. **Select a Crossover Point:** Choose a random index `idx` along the chromosome that will serve as the point for slicing and recombining the genetic material.\n",
     "2. **Recombine to form new chromosomes:** Use the chosen index to interchange segments between two chromosomes, producing two unique offspring, as depicted in the provided figure.\n",
-    "3. **Introduce Stochastic Crossover:** Implement a probability check for performing the crossover, determined by a `cross_probability` parameter. If a randomly generated number is lower than this probability, the crossover is skipped, and the original parents are returned unchanged as children. If the number is higher, proceed with the crossover.\n",
+    "3. **Introduce Stochastic Crossover:** Implement a probability check for performing the crossover, determined by a `cross_probability` parameter. If a randomly generated number is higher than this probability, the crossover is skipped, and the original parents are returned unchanged as children. If the number is lower, proceed with the crossover.\n",
     "\n",
     "`parent_1` and `parent_2` stores each the parameter / genotype vector as 1D array. `cross_probability` is a float number between 0 and 1 $[0, 1]$. \n",
     "\n",