Standard Card Question - Probability

apoechma
Messages
14
Reaction score
0
A standard 52 deck contains 4 different suits with 13 cards in each suit
A player is allowed to draw 2 cards at a time. If a pair of matching in suit is drawn the player receives 1 point, if a pair matching in number is drawn, the plaeyer receives 2 points, otherwise the player gets no points. After the 2 cards are drawn, they are replaced before the next draw of 2 cards. A player is allowed two turns at this game. Let X be the discrete random variable; number of poitns obtained. What is the probability distribution of X and what are its mean and standard deviation?

HELP! PLEASE AND THANK U! the answer is P(0) = .498 p(1) = .332 p(2)=.138 P(3)=.028 p(4) = .004
.708 and .836

I don't even know were to begin!
 
Physics news on Phys.org
Drawing two cards, whatever suit is drawn first, there are 51 cards remaining in the deck and 12 of those are the same suit as the first: the probability that they agree in suit is 12/51. Whatever numerical value is drawn, there are 51 cards remaining in the deck and 3 of those are the same number as drawn: the probability that they agree in numerical value is 3/51. The probability that they do not agree in either suit or numerical value is 1- 12/51- 3/51= (51-5)/51= 46/51.
In order to get 0 points, a player must draw two cards and have them agree in neither suit nor value, a probability of 46/51, and then do the same thing again: probability (46/51)(46/51)= 0.814, not .498. I don't know what you mean by "p(4)= .004 .708 and .836".
 
HallsofIvy said:
Drawing two cards, whatever suit is drawn first, there are 51 cards remaining in the deck and 12 of those are the same suit as the first: the probability that they agree in suit is 12/51. Whatever numerical value is drawn, there are 51 cards remaining in the deck and 3 of those are the same number as drawn: the probability that they agree in numerical value is 3/51. The probability that they do not agree in either suit or numerical value is 1- 12/51- 3/51= (51-5)/51= 46/51.
In order to get 0 points, a player must draw two cards and have them agree in neither suit nor value, a probability of 46/51, and then do the same thing again: probability (46/51)(46/51)= 0.814, not .498. I don't know what you mean by "p(4)= .004 .708 and .836".

You made an arithmetical error in your 0 point calculation. It should be 36/51=12/17, so p(0)=.498.
My calculation gives p(1)=.332, p(2)=.138, p(3)=.028, p(4)=.0034.
 
Thank u very much! i understand this all now, excecet can someone please explain further I understand P(1) is saying what is the probability that they get 1 point? Would you not take the probability of getting one point which is .24 (12/51) * .24? I do not udnerstand this part!

THANK U!
 
To get exactly one point, you need to get one point on either try and zero on the other try. Probability to get one point on a given try is 4/17, probability to get no points is 12/17. Net probability therefore is 2x(4/17)x(12/17).
 
Hi all, I've been a roulette player for more than 10 years (although I took time off here and there) and it's only now that I'm trying to understand the physics of the game. Basically my strategy in roulette is to divide the wheel roughly into two halves (let's call them A and B). My theory is that in roulette there will invariably be variance. In other words, if A comes up 5 times in a row, B will be due to come up soon. However I have been proven wrong many times, and I have seen some...
Namaste & G'day Postulate: A strongly-knit team wins on average over a less knit one Fundamentals: - Two teams face off with 4 players each - A polo team consists of players that each have assigned to them a measure of their ability (called a "Handicap" - 10 is highest, -2 lowest) I attempted to measure close-knitness of a team in terms of standard deviation (SD) of handicaps of the players. Failure: It turns out that, more often than, a team with a higher SD wins. In my language, that...
Back
Top