The mean of X~P(4).
What is 4?
If A and B are not independent, then P(A|B) is equal to this.
What is P(A and B)/P(B)?
If X~B(3, 0.2), the probability that X is 1.
What is 0.384?
The distribution for the following scenario: roll a fair dice 3 times, counting the number of ones rolled.
What is X~B(3, 1/6)?
The mean of X~G(0.2)
What is 5?
If A and B are independent then P(A and B) is equal to this.
What is P(A)P(B)?
If X~G(0.4), the probability that X is less than or equal to 4.
What is 0.8704?
The distribution for the following scenario: flipping a fair coin until you roll a heads.
What is X~G(1/2)?
The mean of X~B(3, 0.5).
What is 1.5?
If A and B are mutually exclusive, then P(A or B) is equal to this.
What is P(A)+P(B)?
If X~P(3), the probability that X is greater than 2.
What is 0.577?
The distribution for the following scenario: draw a card, note if it is a face card, then put it back and reshuffle. Repeat three times.
X~B(3, 12/52)
The mean of X~H(3, 2, 4).
What is 12/5?
If A and B are not independent, then P(A and B) is equal to this.
What is P(A|B)P(B) or P(B|A)P(A)?
If X~G(0.1), the probability that X is at least 6.
What is 0.59?
The distribution for the following scenario: Amy notices that for each block she walks through in NYC, she passes by an average of 1.5 hot dog stands.
X~P(1.5)
The expected dollar gain from flipping a fair coin three times, gaining a dollar on each head, and losing a dollar on each tails.
What is 0 dollars?
If A and B are NOT mutually exclusive than P(A or B) is equal to this.
What is P(A)+P(B)-P(A and B)?
If X~B(5, 0.3), the probability that X is 3 given that X is at least 2.
What is 0.28?
The distribution for the following scenario: drawing five cards from a 52 card deck, and counting the number of face cards.
What is X~H(12, 40, 5)?