15 multiple choice questions covering the binomial distribution: Bernoulli trials, binomial probabilities, mean and variance, cumulative probabilities, and the normal approximation.
A random variable $X$ has distribution $\text{Bin}(n, p)$. What does $n$ represent?
For a binomial random variable $X \sim \text{Bin}(n, p)$, $P(X = x)$ equals
Which condition is required for a binomial model?
If $X \sim \text{Bin}(10, 0.3)$, then $E(X)$ is
If $X \sim \text{Bin}(12, 0.25)$, then $\text{Var}(X)$ is
For $X \sim \text{Bin}(5, 0.4)$, $P(X = 0)$ is
For $X \sim \text{Bin}(8, p)$, $P(X \le 2)$ means
If $X \sim \text{Bin}(n, p)$, the standard deviation is
Expected frequency in a sample of size $N$ is found by
Which expression gives $P(X \text{ at least } 1)$?
When using the normal approximation to a binomial distribution, a continuity correction is used because
For $X \sim \text{Bin}(20, 0.5)$, the distribution is
A Bernoulli trial is
If $X \sim \text{Bin}(6, 0.2)$, which expression represents $P(X = 2)$?
The mode of a binomial distribution is usually near