5. Binomial Distribution & Discrete Random Variables

Given a table that lists the possible values of a random variable along with their corresponding probabilities, is the random variable $X$ discrete or continuous?

Which type of variable best describes the number of auto accidents reported in a given month?

Which of the following correctly states the two requirements for a discrete probability distribution?

Which of the following is every discrete random variable associated with?

Given that $x$ has a Poisson distribution with parameter $\lambda$, which of the following is the correct expression for the probability that $x$ equals $k$?

Which of the following is a criterion for a binomial probability experiment?

Which of the following cannot be modeled by a continuous distribution?

$Which\; of\; the\; following\; is\; a\; discrete\; random\; variable?$

Which of the following variables for data about a track team is a discrete variable?

$Which\; of\; the\; following\; is\; a\; discrete\; random\; variable?$

Which of the following is an example of a discrete variable?

Given that $x$ has a Poisson distribution with parameter $\lambda$, which of the following is the correct expression for the probability that $x$ equals $k$?

$$Which of the following is an example of a discrete random variable?$$

A ______ random variable has either a finite or a countable number of values.

Given the following table showing the possible values of a random variable $X$ and their probabilities: Value of $X$: 0, 1, 2; Probability: 0.2, 0.5, 0.3. Is the random variable $X$ discrete or continuous? Explain your answer.