Please determine whether each statement is true or false.

A probability distribution shows the probabilities of all possible outcomes of an experiment. For a survey regarding new safety measures a group of 20 randomly selected people in a small town of 25 thousand people. The binomial distributions can be used to evaluate the results of the survey. The binomial distribution and the hypergeometric distribution involves counting successful outcomes in a given number of independent trials. The only information required to generate a Poisson distribution is the long-run average it. The sum of all probabilities of a probability distribution varies between 0 and 1. In a uniform probability distribution, the outcomes are equally likely. Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. The probability of getting at least 1 success in this experiment is approximately 0.672. Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. The expected number of successes in this experiment is 1. Suppose, an experiment consists of 5 independent trials and the probability of success for each single trial is 0.2. To evaluate P (x - 4) using a built-in function in g-sheet we enter - binomdisr (4, 5, I]. 2, true)