diff --git a/src/interval.rs b/src/interval.rs
index ba0eed6..1cce356 100644
--- a/src/interval.rs
+++ b/src/interval.rs
@@ -1,10 +1,10 @@
 //! Interval trait and structures.
 
-pub mod lower_upper;
-pub mod mean_margin;
+pub mod bounded;
+pub mod centered;
 
-pub use self::lower_upper::*;
-pub use self::mean_margin::*;
+pub use self::bounded::*;
+pub use self::centered::*;
 
 pub trait Interval<F> {
     /// Returns the interval's mean.
diff --git a/src/interval/lower_upper.rs b/src/interval/bounded.rs
similarity index 76%
rename from src/interval/lower_upper.rs
rename to src/interval/bounded.rs
index 8f2ea7d..a1252a3 100644
--- a/src/interval/lower_upper.rs
+++ b/src/interval/bounded.rs
@@ -3,18 +3,19 @@ use std::ops::{Add, Div, Mul, Sub};
 
 use num_traits::One;
 
-use crate::{Interval, MeanMarginInterval};
+use crate::{CenteredInterval, Interval};
 
 /// Interval represented by its lower and upper bounds.
 #[must_use]
 #[derive(Clone)]
-pub struct LowerUpperInterval<T> {
+pub struct BoundedInterval<T> {
     pub(crate) lower: T,
     pub(crate) upper: T,
 }
 
-impl<T: Copy + One + Add<Output = T> + Sub<Output = T> + Div<Output = T>> Interval<T>
-    for LowerUpperInterval<T>
+impl<T> Interval<T> for BoundedInterval<T>
+where
+    T: Copy + One + Add<Output = T> + Sub<Output = T> + Div<Output = T>,
 {
     #[inline]
     fn mean(&self) -> T {
@@ -42,11 +43,11 @@ impl<T: Copy + One + Add<Output = T> + Sub<Output = T> + Div<Output = T>> Interv
     }
 }
 
-impl<T> From<MeanMarginInterval<T>> for LowerUpperInterval<T>
+impl<T> From<CenteredInterval<T>> for BoundedInterval<T>
 where
     T: Copy + Add<Output = T> + Sub<Output = T>,
 {
-    fn from(interval: MeanMarginInterval<T>) -> Self {
+    fn from(interval: CenteredInterval<T>) -> Self {
         Self {
             lower: interval.lower(),
             upper: interval.upper(),
@@ -54,7 +55,7 @@ where
     }
 }
 
-impl<T> Add<T> for LowerUpperInterval<T>
+impl<T> Add<T> for BoundedInterval<T>
 where
     T: Copy + Add<Output = T>,
 {
@@ -68,7 +69,7 @@ where
     }
 }
 
-impl<T> Mul<T> for LowerUpperInterval<T>
+impl<T> Mul<T> for BoundedInterval<T>
 where
     T: Copy + Mul<Output = T>,
 {
@@ -82,14 +83,14 @@ where
     }
 }
 
-impl<T> PartialEq for LowerUpperInterval<T> {
+impl<T> PartialEq for BoundedInterval<T> {
     #[must_use]
     fn eq(&self, _other: &Self) -> bool {
         false
     }
 }
 
-impl<T: PartialOrd> PartialOrd for LowerUpperInterval<T> {
+impl<T: PartialOrd> PartialOrd for BoundedInterval<T> {
     #[must_use]
     fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
         if self.upper < other.lower {
diff --git a/src/interval/mean_margin.rs b/src/interval/centered.rs
similarity index 81%
rename from src/interval/mean_margin.rs
rename to src/interval/centered.rs
index 7e587dc..1c2b7a2 100644
--- a/src/interval/mean_margin.rs
+++ b/src/interval/centered.rs
@@ -3,17 +3,17 @@ use std::ops::{Add, Div, Mul, Sub};
 
 use num_traits::One;
 
-use crate::{Interval, LowerUpperInterval};
+use crate::{BoundedInterval, Interval};
 
 /// Represents an interval with its mean and margin.
 #[must_use]
 #[derive(Clone)]
-pub struct MeanMarginInterval<T> {
+pub struct CenteredInterval<T> {
     pub mean: T,
     pub margin: T,
 }
 
-impl<T: Add<Output = T> + Sub<Output = T> + Copy> Interval<T> for MeanMarginInterval<T> {
+impl<T: Add<Output = T> + Sub<Output = T> + Copy> Interval<T> for CenteredInterval<T> {
     #[inline]
     fn mean(&self) -> T {
         self.mean
@@ -40,11 +40,11 @@ impl<T: Add<Output = T> + Sub<Output = T> + Copy> Interval<T> for MeanMarginInte
     }
 }
 
-impl<T> From<LowerUpperInterval<T>> for MeanMarginInterval<T>
+impl<T> From<BoundedInterval<T>> for CenteredInterval<T>
 where
     T: Copy + Add<Output = T> + Div<Output = T> + Sub<Output = T> + One,
 {
-    fn from(interval: LowerUpperInterval<T>) -> Self {
+    fn from(interval: BoundedInterval<T>) -> Self {
         Self {
             mean: interval.mean(),
             margin: interval.margin(),
@@ -52,7 +52,7 @@ where
     }
 }
 
-impl<T> Add<T> for MeanMarginInterval<T>
+impl<T> Add<T> for CenteredInterval<T>
 where
     T: Copy + Add<Output = T>,
 {
@@ -66,7 +66,7 @@ where
     }
 }
 
-impl<T> Mul<T> for MeanMarginInterval<T>
+impl<T> Mul<T> for CenteredInterval<T>
 where
     T: Copy + Mul<Output = T>,
 {
@@ -80,14 +80,14 @@ where
     }
 }
 
-impl<T> PartialEq for MeanMarginInterval<T> {
+impl<T> PartialEq for CenteredInterval<T> {
     #[must_use]
     fn eq(&self, _other: &Self) -> bool {
         false
     }
 }
 
-impl<T> PartialOrd for MeanMarginInterval<T>
+impl<T> PartialOrd for CenteredInterval<T>
 where
     T: Copy + Sub<Output = T> + Add<Output = T> + PartialOrd,
 {
diff --git a/src/math/agresti_coull.rs b/src/math/agresti_coull.rs
index fb0102d..22228c3 100644
--- a/src/math/agresti_coull.rs
+++ b/src/math/agresti_coull.rs
@@ -2,11 +2,11 @@
 
 use num_traits::Float;
 
-use crate::{MeanMarginInterval, PHatSample, Sample, Wald, WilsonScore};
+use crate::{CenteredInterval, PHatSample, Sample, Wald, WilsonScore};
 
 pub trait AgrestiCoull<F, N> {
     /// [Agresti–Coull interval](https://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval#Agresti%E2%80%93Coull_interval).
-    fn agresti_coull(&self, z_score: F) -> MeanMarginInterval<F>;
+    fn agresti_coull(&self, z_score: F) -> CenteredInterval<F>;
 }
 
 impl<S, F, N> AgrestiCoull<F, N> for S
@@ -15,7 +15,7 @@ where
     N: Into<F>,
     F: Float,
 {
-    fn agresti_coull(&self, z_score: F) -> MeanMarginInterval<F> {
+    fn agresti_coull(&self, z_score: F) -> CenteredInterval<F> {
         let p_tilde = self.wilson_score(z_score).mean;
         let n_tilde = self.size().into() + z_score * z_score;
         let corrected_sample = PHatSample {
diff --git a/src/math/wald.rs b/src/math/wald.rs
index 5413136..c4c70b5 100644
--- a/src/math/wald.rs
+++ b/src/math/wald.rs
@@ -2,11 +2,11 @@
 
 use num_traits::Float;
 
-use crate::{MeanMarginInterval, Sample};
+use crate::{CenteredInterval, Sample};
 
 pub trait Wald<F, N> {
     /// [Normal approximation interval or Wald interval](https://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval#Normal_approximation_interval_or_Wald_interval).
-    fn wald(&self, z_score: F) -> MeanMarginInterval<F>;
+    fn wald(&self, z_score: F) -> CenteredInterval<F>;
 }
 
 impl<S, F, N> Wald<F, N> for S
@@ -15,9 +15,9 @@ where
     N: Into<F>,
     F: Float,
 {
-    fn wald(&self, z_score: F) -> MeanMarginInterval<F> {
+    fn wald(&self, z_score: F) -> CenteredInterval<F> {
         let p_hat = self.p_hat();
-        MeanMarginInterval {
+        CenteredInterval {
             mean: p_hat,
             margin: z_score * (p_hat * (F::one() - p_hat) / self.size().into()).sqrt(),
         }
diff --git a/src/math/wilson_score.rs b/src/math/wilson_score.rs
index bb4062a..8e2c074 100644
--- a/src/math/wilson_score.rs
+++ b/src/math/wilson_score.rs
@@ -4,16 +4,16 @@ use std::ops::{Add, Div};
 
 use num_traits::{Float, One};
 
-use crate::interval::{LowerUpperInterval, MeanMarginInterval};
+use crate::interval::{BoundedInterval, CenteredInterval};
 use crate::Sample;
 
 pub trait WilsonScore<F, N> {
     /// [Wilson score interval](https://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval#Wilson_score_interval).
-    fn wilson_score(&self, z_level: F) -> MeanMarginInterval<F>;
+    fn wilson_score(&self, z_level: F) -> CenteredInterval<F>;
 
     /// [Wilson score interval with continuity correction](https://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval#Wilson_score_interval_with_continuity_correction)
     /// as per [Wallis (2021)](https://www.routledge.com/Statistics-in-Corpus-Linguistics-Research-A-New-Approach/Wallis/p/book/9781138589384).
-    fn wilson_score_with_cc(&self, z_level: F) -> LowerUpperInterval<F>;
+    fn wilson_score_with_cc(&self, z_level: F) -> BoundedInterval<F>;
 }
 
 impl<S, F, N> WilsonScore<F, N> for S
@@ -22,14 +22,14 @@ where
     F: Float,
     N: Into<F>,
 {
-    fn wilson_score(&self, z_level: F) -> MeanMarginInterval<F> {
+    fn wilson_score(&self, z_level: F) -> CenteredInterval<F> {
         let (one, two, four) = one_two_four();
 
         let sample_size = self.size().into();
         let p_hat = self.p_hat();
         let (a, b) = a_b(sample_size, z_level);
 
-        MeanMarginInterval {
+        CenteredInterval {
             mean: b * (p_hat + a / two),
             margin: z_level
                 * b
@@ -37,7 +37,7 @@ where
         }
     }
 
-    fn wilson_score_with_cc(&self, z_level: F) -> LowerUpperInterval<F> {
+    fn wilson_score_with_cc(&self, z_level: F) -> BoundedInterval<F> {
         let (one, two, four) = one_two_four();
 
         let sample_size = self.size().into();
@@ -50,7 +50,7 @@ where
         let half_a = a / two;
         let quarter_sized_a = a / sample_size / four;
 
-        LowerUpperInterval {
+        BoundedInterval {
             lower: b * (lower_p_hat + half_a)
                 - z_level
                     * b