Bionomial Probability Distribution

In summary, the conversation discusses finding the probabilities of events using the binomial formula in a situation where n=5 and p=0.40. The process of using the formula is explained and the probabilities for x=1 and x=2 are calculated. The conversation also mentions the availability of a button for the binomial coefficient on a calculator.
  • #1
PARAJON
6
0
I need help on this problem.. my answer that i get is the following for A, but I'm not sure. can you help me with a and b. thank you...;.


In a binomial situation n=5 and pie = .40 Determine the probabilities of the following events using the binomial formula.


a. x = 1
n = 5



P (x) = nCx x (1 - ) n - x


P (1) = 5!
1! (5-1)! 1 (.40) 1 (1-.40) 5-1

120 (.40) 1 (.60) 4

Answer 1.55184557





b. x = 2
n =5
 
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  • #2
The probability of an event lies between 0 and 1. You've got 5 choose 1 as 5!1!, when it's 5, and the 1 and 4 should be powers you're raising 0.4 and 0.6 to.

If the probability of a success on trial is p (and q=1-p), then the probability of r successes in n trials is:

[tex] \binom{n}{r}p^rq^{n-r}[/tex]

where

[tex]\binom{n}{r} = \frac{n!}{r!(n-r)!}[/tex]

and is available as a button on your calculator
 
  • #3


P (x) = nCx x (1 - ) n - x

P (2) = 5!
2! (5-2)! 2 (.40) 2 (1-.40) 5-2

120 (.40) 2 (.60) 3

Answer 3.897216

In this case, the correct answer for a is 0.2304 and for b is 0.3456. This can be calculated using the formula P(x) = nCx * p^x * (1-p)^(n-x), where nCx is the combination formula n! / (x! * (n-x)!). Therefore, for a, we have P(1) = 5C1 * (0.40)^1 * (1-0.40)^(5-1) = 5 * 0.40 * 0.60^4 = 0.2304. Similarly, for b, we have P(2) = 5C2 * (0.40)^2 * (1-0.40)^(5-2) = 10 * 0.40^2 * 0.60^3 = 0.3456. It is important to note that the binomial distribution formula is used to calculate the probability of x number of successes in a fixed number of trials (n), with a given probability of success (p) for each trial. Therefore, the values of n and p must be correctly inputted in the formula to get the correct answer.
 

1. What is a Binomial Probability Distribution?

A Binomial Probability Distribution is a discrete probability distribution that describes the likelihood of obtaining a certain number of successes in a fixed number of independent trials, where the probability of success is the same for each trial.

2. What are the characteristics of a Binomial Probability Distribution?

The characteristics of a Binomial Probability Distribution are: a fixed number of independent trials, only two possible outcomes (success or failure) for each trial, a constant probability of success for each trial, and the trials must be independent.

3. How is the Binomial Probability Distribution calculated?

The Binomial Probability Distribution is calculated using the formula P(x) = n!/(x!(n-x)!) * p^x * (1-p)^(n-x), where P(x) is the probability of x successes, n is the total number of trials, and p is the probability of success for each trial.

4. What is the difference between a Binomial and a Bernoulli Distribution?

A Binomial Distribution is used when the number of trials is fixed, while a Bernoulli Distribution is used when there is only one trial. Additionally, a Binomial Distribution can have more than two possible outcomes, while a Bernoulli Distribution only has two outcomes (success or failure).

5. What are some real-life examples of a Binomial Probability Distribution?

Some real-life examples of a Binomial Probability Distribution include flipping a coin multiple times, rolling a die multiple times, and conducting a survey where people can answer yes or no to a question.

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