Experiments with repeated independent trials will be described by the binomial distribution if​

A) ​the trials are continuous.
B) ​each trial result influences the next.
C) ​the time between trials is constant.
D) ​each trial has exactly two outcomes whose probabilities do not change.

The binomial distribution applies when each trial has exactly two possible outcomes (e.g. success or failure), and the probability of each outcome does not change from trial to trial. The other options do not apply to the binomial distribution. Continuous trials would be modeled using a different distribution, such as a normal distribution. Trials where each result influences the next would not be independent and would require a different approach to modeling. The time between trials being constant is not a factor in the binomial distribution.