# Geometric Distribution Calculator

What is Geometric Distribution?

The word geometric distribution relates to the probability of getting successful after repeated failures. It is like tossing the dice several times of getting “six” and the chances of getting other numbers are more. So what will be the probability of getting six? It is the geometric distribution. This is the result of Bernoulli trials, you can also represent it as “probability density function.”## Geometric Distribution Calculator Formula

The mathematical representation of the probability density function:

f(x) = (p)x – 1q

Here,

**“f”**represents the functions**“p”**is the probability of finding accurate results or success**“q”**is the probability of failure**“x”**is the number of total trials**“1”**shows the total number of attempts we are going to make

Note:

To gain knowledge about density, click the density calculator.

### Example

**15%** of the cars are passing along certain roads are blue. What is the probability that the **7th** car will be blue or not?

### Solution

We are taking the probability of passing cars as **1**, so finding the blue car on road will be **0.15** and not finding it will be automatically **0.85%.** The total number of cars are **7** in number.

### Applying the formula,

f(x) = (q)x-1p

f(7) = (0.85)7-1(0.15)

f(7) = (0.85)6(0.15)

f(7) = 0.056

f(7) = 5.7% approx.

So the answer is we have chances to get the next car to blue nearly `5.7%.`

Using this method is helpful in getting the predictions about upcoming results. You can use this method to estimate the results are probably what will be expected in the future.

### Geometric Distribution Calculator use

The geometric distribution calculator is useful in helping you to find accurate results by clicking a button. Forget the messed up solutions and putting manually all the values. You do not have to apply the formula manually using this calculator. Simply put the values expected for success and failure and you will get the ratio or percentage of in the answer.