Update primitives-examples.mdx (Qiskit#800)

quick edit

docs/run/primitives-examples.mdx

@@ -86,7 +86,7 @@ isa_circuits = pm.run(circuits)
 isa_observables = [ob.apply_layout(isa_circuits[0].layout) for ob in observables]
 
 estimator = Estimator(backend)
-job = estimator.run(circuits, observables)
+job = estimator.run(isa_circuits, isa_observables)
 result = job.result()
 
 print(f" > Expectation values: {result.values}")
@@ -330,4 +330,4 @@ print(f" > Quasi-probability distribution job 2: {another_result.quasi_dists}")
     - Practice with primitives by working through the [Cost function lesson](https://learning.quantum.ibm.com/course/variational-algorithm-design/cost-functions#primitives) in IBM Quantum Learning.
     - Learn how to transpile locally in the [Transpile](../transpile/) section.
     - Try the [Submit pre-transpiled circuits](https://learning.quantum.ibm.com/tutorial/submitting-user-transpiled-circuits-using-primitives) tutorial.
-</Admonition>
+</Admonition>