diff --git a/docs/make.jl b/docs/make.jl
index 78208d5e7..04125d23b 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -1,4 +1,4 @@
-using Documenter, StatsBase
+using Documenter, StatsBase, Statistics, Random
 
 makedocs(
     format = :html,
diff --git a/docs/src/index.md b/docs/src/index.md
index 798f28000..a3cf572a2 100644
--- a/docs/src/index.md
+++ b/docs/src/index.md
@@ -2,6 +2,10 @@
 
 ```@meta
 CurrentModule = StatsBase
+DocTestSetup = quote
+    using Statistics
+    using Random
+end
 ```
 
 *StatsBase.jl* is a Julia package that provides basic support for statistics. Particularly, it implements a variety of statistics-related functions, such as scalar statistics, high-order moment computation, counting, ranking, covariances, sampling, and empirical density estimation.
diff --git a/docs/src/means.md b/docs/src/means.md
index 1ec802fb2..47b9ff089 100644
--- a/docs/src/means.md
+++ b/docs/src/means.md
@@ -12,6 +12,6 @@ The `mean` and `mean!` functions are also extended to accept a weight vector of
 `AbstractWeights` to compute weighted mean.
 
 ```@docs
-Base.mean(A::AbstractArray, w::AbstractWeights)
-Base.mean!(R::AbstractArray, A::AbstractArray, w::AbstractWeights, dim::Int)
+Statistics.mean(A::AbstractArray, w::AbstractWeights)
+Statistics.mean!(R::AbstractArray, A::AbstractArray, w::AbstractWeights, dim::Int)
 ```
diff --git a/docs/src/sampling.md b/docs/src/sampling.md
index 82c159287..ffe3ffa8b 100644
--- a/docs/src/sampling.md
+++ b/docs/src/sampling.md
@@ -38,7 +38,7 @@ All following functions write results to `x` (pre-allocated) and return `x`.
 ### Sampling Algorithms (Non-Weighted)
 
 ```@docs
-StatsBase.direct_sample!(rng::AbstractRNG, a::AbstractArray, x::AbstractArray)
+StatsBase.direct_sample!(rng::Random.AbstractRNG, a::AbstractArray, x::AbstractArray)
 samplepair
 StatsBase.knuths_sample!
 StatsBase.fisher_yates_sample!
@@ -50,7 +50,7 @@ StatsBase.seqsample_c!
 ### Weighted Sampling Algorithms
 
 ```@docs
-StatsBase.direct_sample!(rng::AbstractRNG, a::AbstractArray, wv::AbstractWeights, x::AbstractArray)
+StatsBase.direct_sample!(rng::Random.AbstractRNG, a::AbstractArray, wv::AbstractWeights, x::AbstractArray)
 StatsBase.alias_sample!
 StatsBase.naive_wsample_norep!
 StatsBase.efraimidis_a_wsample_norep!
diff --git a/docs/src/scalarstats.md b/docs/src/scalarstats.md
index bc17fd83a..1159b274d 100644
--- a/docs/src/scalarstats.md
+++ b/docs/src/scalarstats.md
@@ -46,7 +46,7 @@ percentile
 iqr
 nquantile
 quantile
-Base.median(v::StatsBase.RealVector, w::AbstractWeights{<:Real})
+Statistics.median(v::StatsBase.RealVector, w::AbstractWeights{<:Real})
 ```
 
 ## Mode and Modes