Step 1: Recall the properties of a Binomial distribution.
A binomial distribution is based on a binomial experiment having the following properties:
(i) A fixed number of trials
(ii) Trials are independent
(iii) Each trial has only two outcomes: success or failure
(iv) Probability of success remains constant in every trial
Step 2: Examine each option.
Option (1):
Random experiment consists of identical trials
This is a correct property of a binomial experiment.
Option (2):
Each outcome can be classified as success or failure
This is also a correct property.
Option (4):
The trials are independent
This is again a standard property of the binomial distribution.
Option (3):
The probabilities of the two outcomes can change from one trial to the next
This is incorrect because in a binomial distribution, the probability of success \(p\) and failure \(q\) remains constant for every trial.
Therefore, this statement is not a property of a binomial distribution.
Step 3: Final conclusion.
Hence, the statement which is not a property of a binomial distribution is
\[
\boxed{\text{The probabilities of the two outcomes can change from one trial to the next}}
\]
which corresponds to option (3).