diff --git a/psignifit/_configuration.py b/psignifit/_configuration.py
index 7a5eb26..ff5a48e 100644
--- a/psignifit/_configuration.py
+++ b/psignifit/_configuration.py
@@ -37,7 +37,7 @@ class Configuration:
     """
     beta_prior: int = 10
     CI_method: str = 'project'
-    confidence_intervals: Tuple[float, float, float] = (.95, .9, .68)
+    confidence_percentiles: Tuple[float, float, float] = (.95, .9, .68)
     estimate_type: str = 'MAP'
     experiment_type: str = ExperimentType.YES_NO.value
     experiment_choices: Optional[int] = None
diff --git a/psignifit/psignifit.py b/psignifit/psignifit.py
index 41cd67b..42e2b58 100755
--- a/psignifit/psignifit.py
+++ b/psignifit/psignifit.py
@@ -91,7 +91,7 @@ def psignifit(data: np.ndarray, conf: Optional[Configuration] = None,
     grid_none_ix = tuple(ix for ix, (param, value) in enumerate(sorted(grid.items())) if value is None)
     grid_params = [param for param, value in grid.items() if value is not None]
     grid_values = [grid[param] for param in grid_params]
-    intervals = confidence_intervals(np.squeeze(posteriors, axis=grid_none_ix), grid_values, conf.confidence_intervals, conf.CI_method)
+    intervals = confidence_intervals(np.squeeze(posteriors, axis=grid_none_ix), grid_values, conf.confidence_percentiles, conf.CI_method)
     intervals_dict = {param: intervals[ix].tolist() for ix, param in enumerate(grid_params)}
     marginals = marginalize_posterior(grid, posteriors)