diff --git a/doc/introduction/interfaces/jax.rst b/doc/introduction/interfaces/jax.rst
index b27e27405ad..ecd8fe049af 100644
--- a/doc/introduction/interfaces/jax.rst
+++ b/doc/introduction/interfaces/jax.rst
@@ -122,7 +122,7 @@ explicitly seeded. (See the `JAX random package documentation
 details).
 
 When simulations include randomness (i.e., if the device has a finite ``shots`` value, or the qnode
-returns ``qml.samples()``), the JAX device requires a ``jax.random.PRNGKey``. Usually, PennyLane
+returns ``qml.sample()``), the JAX device requires a ``jax.random.PRNGKey``. Usually, PennyLane
 automatically handles this for you. However, if you wish to use jitting with randomness, both the
 qnode and the device need to be created in the context of the ``jax.jit`` decorator. This can be
 achieved by wrapping device and qnode creation into a function decorated by ``@jax.jit``:
@@ -136,11 +136,11 @@ Example:
 
 
     @jax.jit
-    def sample_circuit(phi, theta, key)
+    def sample_circuit(phi, theta, key):
 
         # Device construction should happen inside a `jax.jit` decorated
         # method when using a PRNGKey.
-        dev = qml.device('default.qubit.jax', wires=2, prng_key=key)
+        dev = qml.device('default.qubit.jax', wires=2, prng_key=key, shots=100)
 
 
         @qml.qnode(dev, interface='jax')
@@ -149,9 +149,9 @@ Example:
             qml.RZ(phi[1], wires=1)
             qml.CNOT(wires=[0, 1])
             qml.RX(theta, wires=0)
-            return qml.samples() # Here, we take samples instead.
+            return qml.sample() # Here, we take samples instead.
 
-        return circuit(phi, theta, key)
+        return circuit(phi, theta)
 
     # Get the samples from the jitted method.
     samples = sample_circuit([0.0, 1.0], 0.0, jax.random.PRNGKey(0))