Probability of X in Binomial Distribution B(20, 1/52)

In summary, the conversation discusses calculating the binomial distribution and range space for a variable X representing the number of times a spade is drawn from a standard deck of 52 cards with replacement. The probability function is also mentioned and it is clarified that the probability of drawing a spade on any one draw is not 1/52. The range space is described as a list of all possible numbers of spades that can be drawn, which includes 0 and 1. The correct probability is also mentioned.
  • #1
Firepanda
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http://img262.imageshack.us/img262/4669/rangevu0.jpg

Ok so I think its asking for a binomial distribution of B(20, 1/52)

Would this be the probability function of X?

Also the range space of X is asked in a lot of these questions, but I've no idea on how to calculate it. I thought it was the codomain, so perhaps it's

20C0 * (1/52)^0 * (51/52)^20 = 0.678

20C20 * (1/52)^20 * (51/52)^0 = 4.79*10^-35

As the range. But it seems a little wrong :P

Any help is appreciated as my exam is tomorow!

Thx
 
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  • #2
The variable X is "the number of times a spade is drawn when a card is chosen from a standard deck of 52 cards with replacement."

Yes, the probability function is the binomial distribution- but the probability of a spade on anyone draw is not "1/52"- that would be the probability of a specific card. How many spades are there in the deck?

And the range asked about is the range of X, not the range of the probability distribution. That is, you want to give a list of all the possible numbers of times you can draw a spade in this way. For example, it is quite possible that none of the draws will be a spade isn't it? So "0" is in the range space. It is quite possible that you get a single spade and the rest of the draws are not spades. So "1" is in the range space. Continue that reasoning.
 
  • #3
HallsofIvy said:
The variable X is "the number of times a spade is drawn when a card is chosen from a standard deck of 52 cards with replacement."

Yes, the probability function is the binomial distribution- but the probability of a spade on anyone draw is not "1/52"- that would be the probability of a specific card. How many spades are there in the deck?

And the range asked about is the range of X, not the range of the probability distribution. That is, you want to give a list of all the possible numbers of times you can draw a spade in this way. For example, it is quite possible that none of the draws will be a spade isn't it? So "0" is in the range space. It is quite possible that you get a single spade and the rest of the draws are not spades. So "1" is in the range space. Continue that reasoning.

So the range space is just {0,1,2...,19,20}? :)

And yes sorry the probability isn't 51/52, I wasnt thinking properly :)
 

What is the formula for calculating the probability of X in Binomial Distribution B(20, 1/52)?

The formula for calculating the probability of X in Binomial Distribution B(20, 1/52) is P(X) = (20 choose X) * (1/52)^X * (51/52)^(20-X), where (20 choose X) represents the combination of 20 trials with X successes.

How is the Binomial Distribution B(20, 1/52) different from other probability distributions?

The Binomial Distribution B(20, 1/52) differs from other probability distributions in that it is a discrete distribution that models the number of successes in a fixed number of independent trials with only two possible outcomes (success or failure) and a constant probability of success (1/52) for each trial.

What is the significance of the parameters 20 and 1/52 in the Binomial Distribution B(20, 1/52)?

The parameter 20 represents the number of trials or experiments in the Binomial Distribution B(20, 1/52). The parameter 1/52 represents the probability of success for each trial, which is the same for every trial in this distribution.

How can the Binomial Distribution B(20, 1/52) be used in real-world scenarios?

The Binomial Distribution B(20, 1/52) can be used in real-world scenarios to model the probability of a specific number of successes in a fixed number of trials with a constant probability of success. For example, it can be used to predict the probability of getting 5 heads in 20 coin tosses, where the probability of getting heads is 1/52 for each toss.

What assumptions are made when using the Binomial Distribution B(20, 1/52)?

When using the Binomial Distribution B(20, 1/52), the following assumptions are made: 1) the trials are independent of each other, 2) there are only two possible outcomes (success or failure) for each trial, 3) the probability of success (1/52) remains constant for each trial, and 4) each trial has the same probability distribution.

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