Master the Negative Binomial and Geometric Distributions in this Quiz!

S = {(w1 , w2 ,. , wn ) : n ∈ {r, r + 1,.}, wn = s, wi ∈ {s, f }, i = 1, 2,. , n − 1; r of w1 , w2 ,. , wn−1 are s and remaining n − r of w1 , w2 ,. , wn−1 are f }

S = {(w1 , w2 ,. , wn ) : n ∈ {r, r + 1,.}, wn = s, wi ∈ {s, f }, i = 1, 2,. , n; r − 1 of w1 , w2 ,. , wn−1 are s and remaining n − r of w1 , w2 ,. , wn−1 are f }

S = {(w1 , w2 ,. , wn ) : n ∈ {r, r + 1,.}, wn = s, wi ∈ {s, f }, i = 1, 2,. , n; r of w1 , w2 ,. , wn are s and remaining n − r of w1 , w2 ,. , wn are f }

S = {(w1 , w2 ,. , wn ) : n ∈ {r, r + 1,.}, wn = s, wi ∈ {s, f }, i = 1, 2,. , n − 1; r − 1 of w1 , w2 ,. , wn−1 are s and remaining n − r of w1 , w2 ,. , wn−1 are f } (correct)

A distribution that models the number of failures before the r-th success in a sequence of independent Bernoulli trials (correct)

A distribution that models the number of successes in a fixed number of independent Bernoulli trials

A distribution that models the number of successes before the r-th failure in a sequence of independent Bernoulli trials

A distribution that models the number of failures in a fixed number of independent Bernoulli trials

The number of failures in a fixed number of independent Bernoulli trials

The number of failures before the r-th success (correct)

The number of successes before the r-th failure

The number of successes in a fixed number of independent Bernoulli trials

<p>P ({X = x}) = 0 (C)</p> Signup and view all the answers

<p>The probability of success in each trial (C)</p> Signup and view all the answers