Step 1 :The experiment can be considered a binomial experiment if it meets the following conditions: 1. The experiment consists of a fixed number of trials. 2. Each trial can result in just two possible outcomes. We call one of these outcomes a success and the other, a failure. 3. The probability of success, denoted by P, is the same on every trial. 4. The trials are independent; the outcome on one trial does not affect the outcome on other trials.
Step 2 :In this case, the experiment is asking a fixed number of workers (30) a question that can result in two possible outcomes (reducing vacation or not). The probability of success (a worker reducing vacation) is the same for each worker (39% of 1200 workers). The outcome for one worker does not affect the outcome for another worker. Therefore, this experiment can be considered a binomial experiment.
Step 3 :A success in this experiment is a worker reducing the amount of vacation.
Step 4 :The values of \(n, p\), and \(q\) are as follows: \(n\) is the number of trials, which is the number of workers randomly selected, so \(n = 30\). \(p\) is the probability of success on a single trial, which is the proportion of workers reducing vacation, so \(p = 0.39\). \(q\) is the probability of failure on a single trial, which is the proportion of workers not reducing vacation, so \(q = 1 - p = 0.61\).
Step 5 :The possible values of the random variable \(x\) are the number of successes in \(n\) trials, which can range from 0 (no workers reducing vacation) to 30 (all workers reducing vacation).
Step 6 :\(\boxed{\text{The experiment is a binomial experiment. A success is a worker reducing the amount of vacation. The values of } n, p, \text{ and } q \text{ are } n = 30, p = 0.39, \text{ and } q = 0.61. \text{ The possible values of the random variable } x \text{ are 0 through 30.}}\)