What is the Least Value of K for Advancement in a Binomial Distribution Game?

In summary, the conversation discusses a game where players draw a ball at random from a bag containing 4 red, 5 blue, and 6 green balls. They earn $0.50 for each blue ball obtained and play 10 trials in total. The question is to find the minimum value of k, where players who earn more than k dollars proceed to the next round, such that in a random sample of 10 players, the probability of all 10 players proceeding to the next round is less than 0.1. Using the formula X~B(10,1/3) and calculating the cumulative sum, it is determined that n=2 is the smallest number of wins where P(X<=n) is greater than
  • #1
Punch
44
0
A bag contains 4 red, 5 blue and 6 green balls. The balls are indistinguishable except for their colour. A trial consists of drawing a ball at random from the bag, noting its colour and replacing it in the bag. A game is plated by performing 10 trials in all.

At the start of the tournament, each player plays the above game once. Players who earned more than k dollars proceed to the next round. Find the least value of k such that, in a random sample of 10 players, the probability that all 10 players proceed to the next round is less than 0.1.

Let X be the number of blue balls drew.

X~B(10,$\frac{1}{3}$)

$[P(X>n)]^{10} < 0.1$ where $n=\frac{k}{0.50}$

$1-P(X $≤ $n) <0.794$

$P(X $≤ $n) > 0.206$
 
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  • #2
Punch said:
A bag contains 4 red, 5 blue and 6 green balls. The balls are indistinguishable except for their colour. A trial consists of drawing a ball at random from the bag, noting its colour and replacing it in the bag. A game is plated by performing 10 trials in all.

At the start of the tournament, each player plays the above game once. Players who earned more than k dollars proceed to the next round. Find the least value of k such that, in a random sample of 10 players, the probability that all 10 players proceed to the next round is less than 0.1.

Let X be the number of blue balls drew.

X~B(10,$\frac{1}{3}$)

$[P(X>n)]^{10} < 0.1$ where $n=\frac{k}{0.50}$

$1-P(X $≤ $n) <0.794$

$P(X $≤ $n) > 0.206$

Incomplete question. Please include all the relevant information to the question in the thread with the question.

CB
 
  • #3
CaptainBlack said:
Incomplete question. Please include all the relevant information to the question in the thread with the question.

CB

Sorry! The missing part is: For each blue ball obtained, the player earns $0.50
 
  • #4
Punch said:
Sorry! The missing part is: For each blue ball obtained, the player earns $0.50

OK, so make a table of b(i,10,1/3):

Code:
            i     b(i,10,1/3)
            ----------------
            0     0.0173415 
            1     0.0867076 
            2      0.195092 
            3      0.260123 
            4      0.227608 
            5      0.136565 
            6     0.0569019 
            7     0.0162577 
            8    0.00304832 
            9   0.000338702 
           10  1.69351e-005

Now you need another column with the cumulative sum ...

(n=2 is the smallest number of wins such that P(X<=n)>0.206)

CB
 
  • #5


Using a binomial distribution table or a calculator, we can find that the probability of getting 5 or less blue balls out of 10 trials is approximately 0.206. Therefore, the least value of k would be 5 dollars, since a player would need to have at least 5 blue balls to proceed to the next round. This ensures that the probability of all 10 players proceeding to the next round is less than 0.1, as requested.
 

What is a binomial distribution?

A binomial distribution is a probability distribution that describes the likelihood of obtaining a certain number of successes in a fixed number of independent trials, where each trial has a constant probability of success.

What are the characteristics of a binomial distribution?

A binomial distribution has the following characteristics: a fixed number of trials, each trial has only two possible outcomes (success or failure), the probability of success is constant for each trial, and the trials are independent.

How is a binomial distribution different from a normal distribution?

A binomial distribution is discrete, meaning that the possible outcomes are countable and distinct, while a normal distribution is continuous, meaning that the possible outcomes can take on any value within a range. Additionally, a binomial distribution has a fixed number of trials, while a normal distribution has an infinite number of possible trials.

What are some real-life applications of binomial distribution?

Some real-life applications of binomial distribution include coin flipping, measuring the success rate of a marketing campaign, predicting the outcomes of sports games, and analyzing the success rates of medical treatments.

How is binomial distribution used in statistical analysis?

Binomial distribution is used in statistical analysis to calculate the probability of obtaining a certain number of successes in a given number of trials, to test hypotheses, and to make predictions about future outcomes based on past data. It is also used in the construction of confidence intervals and in hypothesis testing using the binomial test.

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