Geometric distribution meaning

Geometric distribution represents the probability of success after a certain number of trials in a sequence of independent Bernoulli trials.


Geometric distribution definitions

Word backwards cirtemoeg noitubirtsid
Part of speech The part of speech of the term "geometric distribution" is a noun phrase.
Syllabic division geo-met-ric dis-trib-u-tion
Plural The plural of geometric distribution is geometric distributions.
Total letters 21
Vogais (4) e,o,i,u
Consonants (9) g,m,t,r,c,d,s,b,n

Geometric Distribution is a probability distribution that represents the number of trials needed to achieve the first success in a sequence of independent Bernoulli trials. It is widely used in various fields such as statistics, engineering, and economics for modeling the time it takes for a specified event to occur.

The key characteristic of the geometric distribution is that each trial is independent and there are only two possible outcomes - success or failure. The probability of success remains constant from trial to trial, and the trials continue until the first success is achieved.

Formula and Parameters

The formula for the geometric distribution is P(X=k) = (1-p)^(k-1) p, where k is the number of trials needed to achieve the first success, and p is the probability of success on each trial. The parameter p must be between 0 and 1.

Mean and Variance

The mean of the geometric distribution is given by μ = 1/p, while the variance is σ^2 = (1-p)/p^2. These values provide insight into the expected number of trials needed to achieve success and the variability around this mean.

Understanding the geometric distribution is essential for analyzing processes that involve a sequence of independent trials with a constant probability of success. It allows researchers and analysts to make informed decisions based on the likelihood of achieving success within a certain number of trials.


Geometric distribution Examples

  1. The number of trials needed until a coin lands on heads can be modeled using the geometric distribution.
  2. A random variable X follows a geometric distribution if it represents the number of failures before the first success in a series of Bernoulli trials.
  3. The probability of a light bulb lasting a certain number of hours before burning out can be described by a geometric distribution.
  4. In a geometric distribution, each trial is independent and has the same probability of success.
  5. The geometric distribution is commonly used in queuing theory to model the time between arrivals of customers at a service point.
  6. The waiting time until the first order is received at a call center can be analyzed using the geometric distribution.
  7. The geometric distribution is a discrete probability distribution that describes the number of trials needed until a successful outcome.
  8. The geometric distribution can be used to calculate the expected number of attempts needed to win a game of chance.
  9. A soda vending machine follows a geometric distribution in terms of the number of cans sold before restocking.
  10. The geometric distribution is one of several discrete probability distributions used in statistical analysis.


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  • Updated 04/04/2024 - 09:43:28