5. Binomial Distribution & Discrete Random Variables

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

Which of the following variables is not continuous?

Which of the following can be represented by a $discreterandomvariable$?

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

Which of the following is not a discrete random variable?

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

Given the following probability distribution for the discrete random variable $y$: $\begin{array}{cccc}y& 1& 2& 3\\ P\left(y\right)& 0.2& 0.5& 0.3\end{array}$ What is the expected value of $y$?

Which of the following is an example of a binomial random variable?

Given the following table showing the possible values of a random variable $X$ and their probabilities: Value of $X$: $0$, $1$, $2$, $3$; Probability: $0.1$, $0.3$, $0.4$, $0.2$. Is the random variable $X$ discrete or continuous? Explain your answer.

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

Number of BirthsThe graph of the discrete probability distribution below represents the number of live births by a mother 50–54 years old who had a live birth in 2017.

c. What is the probability that a randomly selected mother aged 50 to 54 who had a live birth in 2017 was having her sixth child or more?

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