What type of distribution is appropriate to model the time between two consecutive departures from the gate of an airport Poisson Binomial Exponential Geometric

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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### Question on Probability Distributions

**What type of distribution is appropriate to model the time between two consecutive departures from the gate of an airport?**

**Options:**
1. **Poisson**
2. **Binomial**
3. **Exponential**
4. **Geometric**

This question aims to identify the most suitable probability distribution to describe the interval between successive events (i.e., airport gate departures) occurring independently. Ensure you have a firm grasp of the characteristics of each probability distribution to answer effectively:

- **Poisson Distribution:** Typically used to model the number of events occurring in a fixed interval of time or space.
- **Binomial Distribution:** Generally used to model the number of successes in a fixed number of trials with a constant probability of success.
- **Exponential Distribution:** Commonly used to model the time between events in a Poisson process, where events occur continuously and independently at a constant average rate.
- **Geometric Distribution:** Often used to model the number of trials up to and including the first success in a sequence of independent Bernoulli trials.

### Explanation

The question involves understanding the time interval between events, fitting the characteristics of the **Exponential Distribution**, which is frequently applied in scenarios involving waiting times between successive events in a Poisson process.
Transcribed Image Text:### Question on Probability Distributions **What type of distribution is appropriate to model the time between two consecutive departures from the gate of an airport?** **Options:** 1. **Poisson** 2. **Binomial** 3. **Exponential** 4. **Geometric** This question aims to identify the most suitable probability distribution to describe the interval between successive events (i.e., airport gate departures) occurring independently. Ensure you have a firm grasp of the characteristics of each probability distribution to answer effectively: - **Poisson Distribution:** Typically used to model the number of events occurring in a fixed interval of time or space. - **Binomial Distribution:** Generally used to model the number of successes in a fixed number of trials with a constant probability of success. - **Exponential Distribution:** Commonly used to model the time between events in a Poisson process, where events occur continuously and independently at a constant average rate. - **Geometric Distribution:** Often used to model the number of trials up to and including the first success in a sequence of independent Bernoulli trials. ### Explanation The question involves understanding the time interval between events, fitting the characteristics of the **Exponential Distribution**, which is frequently applied in scenarios involving waiting times between successive events in a Poisson process.
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