To answer this question, you need to understand the concept of the binomial distribution.
The binomial distribution model describes random sampling.
Option A) Random - This option is correct because the binomial distribution assumes that each trial in the experiment is independent and has the same probability of success. This implies that the sampling is random.
Option B) Acceptance - This option is incorrect because the binomial distribution does not specifically describe acceptance sampling. Acceptance sampling is a different statistical technique used to determine whether a batch or lot of items meets certain quality standards.
Option C) 100% - This option is incorrect because the binomial distribution does not imply that the sampling is 100%. The binomial distribution allows for any probability of success between 0 and 1.
Option D) Binomial - This option is incorrect because the binomial distribution model itself is not describing the type of sampling, but rather the distribution of the number of successes in a fixed number of independent Bernoulli trials.
Therefore, the correct answer is A) Random. This option is correct because the binomial distribution model describes random sampling.