Probability of drawing a heart: 1/4 Probability of drawing a club: 1/4 Probability of drawing a heart or a club: 1/4 + 1/4 = 2/4 = 1/2
The answer depends on how many cards are drawn.
There are 13 clubs in a deck of 52 cards. The probability of drawing 1 club from a deck of 52 is 13/52 or 1/4.
Probability of drawing a 7 or 9 is the probability of draw a 7 plus the probability of draw a 9 which is 4/52 + 4/52 = 8/52 = 2/13 = 0.1538.
In a standard deck of 52 cards, there are 13 clubs and 1 seven of hearts. The probability of drawing a club or the seven of hearts, then, is 14 in 52, or 7 in 26.
Probability of drawing a heart: 1/4 Probability of drawing a club: 1/4 Probability of drawing a heart or a club: 1/4 + 1/4 = 2/4 = 1/2
The answer depends on how many cards are drawn.
There are 13 clubs in a deck of 52 cards. The probability of drawing 1 club from a deck of 52 is 13/52 or 1/4.
1/15 actualy its not 1/52 if its a club
There is a 13 in 52, or 1 in 4, or 0.25 probability of drawing a club from a standard deck of 52 cards.
Probability of drawing a 7 or 9 is the probability of draw a 7 plus the probability of draw a 9 which is 4/52 + 4/52 = 8/52 = 2/13 = 0.1538.
The probability of drawing a king given that you drew a spade or a club is 2 out of 26, or 1 out of 13. This is because there are 2 kings (one from spades and one from clubs) out of a total of 26 spade and club cards.
1 out of 52
4 out of 7
The probability is 22/52 = 11/26.
In a standard deck of 52 cards, there are 13 clubs and 1 seven of hearts. The probability of drawing a club or the seven of hearts, then, is 14 in 52, or 7 in 26.
To calculate the probability of drawing a black card and a 7 from a standard deck of 52 cards, we first determine the total number of black cards and the number of 7s in the deck. There are 26 black cards (13 spades and 13 clubs) and 4 sevens in the deck. The probability of drawing a black card and a 7 is calculated by multiplying the probability of drawing a black card (26/52) by the probability of drawing a 7 (4/52), resulting in a probability of (26/52) * (4/52) = 1/26 or approximately 0.0385.