Module 10 Module Quiz Extension 1

Module 10 Quiz

15 multiple choice questions covering the binomial distribution: Bernoulli trials, binomial probabilities, mean and variance, cumulative probabilities, and the normal approximation.

Module 10 Quiz

Q11 MARK

A random variable $X$ has distribution $\text{Bin}(n, p)$. What does $n$ represent?

Q21 MARK

For a binomial random variable $X \sim \text{Bin}(n, p)$, $P(X = x)$ equals

Q31 MARK

Which condition is required for a binomial model?

Q41 MARK

If $X \sim \text{Bin}(10, 0.3)$, then $E(X)$ is

Q51 MARK

If $X \sim \text{Bin}(12, 0.25)$, then $\text{Var}(X)$ is

Q61 MARK

For $X \sim \text{Bin}(5, 0.4)$, $P(X = 0)$ is

Q71 MARK

For $X \sim \text{Bin}(8, p)$, $P(X \le 2)$ means

Q81 MARK

If $X \sim \text{Bin}(n, p)$, the standard deviation is

Q91 MARK

Expected frequency in a sample of size $N$ is found by

Q101 MARK

Which expression gives $P(X \text{ at least } 1)$?

Q111 MARK

When using the normal approximation to a binomial distribution, a continuity correction is used because

Q121 MARK

For $X \sim \text{Bin}(20, 0.5)$, the distribution is

Q131 MARK

A Bernoulli trial is

Q141 MARK

If $X \sim \text{Bin}(6, 0.2)$, which expression represents $P(X = 2)$?

Q151 MARK

The mode of a binomial distribution is usually near