Binomial and Hypergeometric Distributions

This conversation discusses using the Binomial Distribution to find the probability of having at least 3 red balls out of 4 picked with replacement from an urn with 5 red and 18 blue balls. The total number of balls in the sample is 23, and the number of trials is 4. The probability of getting 3 red balls and 1 blue ball is (5/23)^3 * (18/23), and the probability of getting 4 red balls is (5/23)^4. The value of k in this case would be 3 and 4.
  • #1
Hiche
84
0

Homework Statement



We have an urn with 5 red and 18 blues balls and we pick 4 balls with replacement. We denote the number of red balls in the sample by Y. What is the probability that Y >=3? (Use Binomial Distribution)

Homework Equations



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The Attempt at a Solution



Okay, so we were asked to use the Binomial Distribution here.

The whole sample is denoted by N = 23. The number of trials is n = 4 since we have to choose 4 balls from 23. Since Y denotes the number of red balls in the sample and replacement is used, how do we find p? Is it the probability of having 3 red balls and one blues + the probability of 4 red balls? So, (5/23)^3 * (18/23) + (5/23)^4? What is k? Is it in our case 3 and 4?

I will post the other hypergeometric problem when I solve this. I am not good at statistics in any way so I would appreciate the help.
 
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  • #2
Ʃp(y=k},k=3,4
compute p(y=k) from the binomial distribution with probabiliyy 5/18 and n=23
 
  • #3
Okay thanks, but shouldn't p = 5/23? The total number of balls is 23.
 
  • #4
Yes,of course.
 

Related to Binomial and Hypergeometric Distributions

1. What is a binomial distribution?

A binomial distribution is a probability distribution that describes the number of successes in a fixed number of independent trials, where each trial only has two possible outcomes (success or failure). It is often used to model situations such as coin flips or the success rate of a product.

2. How is a binomial distribution different from a normal distribution?

A binomial distribution is different from a normal distribution in that it only has two possible outcomes (success or failure) and is based on a fixed number of trials. A normal distribution, on the other hand, can have any number of outcomes and is based on continuous data.

3. What is a hypergeometric distribution?

A hypergeometric distribution is a probability distribution that describes the number of successes in a sample of a fixed size, taken from a population without replacement. It is often used to model situations such as the number of defective items in a sample from a production line.

4. How is a hypergeometric distribution different from a binomial distribution?

A hypergeometric distribution differs from a binomial distribution in that it does not involve independent trials and the number of successes is based on a fixed sample size. In a binomial distribution, the number of trials and successes can vary.

5. In what real-world situations are binomial and hypergeometric distributions useful?

Binomial and hypergeometric distributions are useful in many real-world situations, such as market research, quality control, and genetics. They can also be used in sports analytics to model the success rate of a player or team, and in finance to model the probability of stock price movements.

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