Exponential Distribution with Probability

In summary, the exponential distribution is a probability distribution used to describe the time between events in a Poisson process. It is unique in that it has a constant hazard rate and is commonly used in fields such as finance and biology. The formula for the exponential distribution involves a rate parameter and the time between events, and probabilities can be calculated using the probability density function or the cumulative distribution function.
  • #1
Askhwhelp
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$$f(y) = \begin{cases} 0& \text{for }y< 0,\\ 2y& \text{for }0 ≤ y ≤ .5,\\ 6-6y& \text{for }0.5 < y ≤ 1, \\0& \text{for } y > 1\end{cases}$$

(1) Find cumulative distribution function, F(y)
$$F(y) = \begin{cases} 0& \text{for }y< 0, \\\int_0^y 2t dt = y^2 & \text{for } 0 ≤ y ≤ .5,\\.5^2+ \int_{0.5}^y (6-6t) dt = 6y-3y^2-2 & \text{for }0.5 < y ≤ 1\ \\1& \text{for } y > 1\end{cases}$$

(2) P(1/4 < Y < 3/4) = 6(3/4)-3(3/4)^2-2-(1/4)^2 = 3/4

Could anyone check (1) and (2) for me?
 
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  • #2
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Related to Exponential Distribution with Probability

1. What is the exponential distribution?

The exponential distribution is a probability distribution that describes the time between events in a Poisson process, where events occur continuously and independently at a constant average rate.

2. How is the exponential distribution different from other distributions?

The exponential distribution is unique in that it has a constant hazard rate, meaning the probability of an event occurring in a given time interval is always the same, regardless of how much time has passed. This is in contrast to other distributions, such as the normal or binomial distribution, where the probability of an event changes depending on the time or number of trials.

3. What is the formula for the exponential distribution?

The probability density function for the exponential distribution is f(x) = λe^(-λx), where λ is the rate parameter and x is the time between events. The cumulative distribution function is F(x) = 1 - e^(-λx).

4. How is the exponential distribution used in real life?

The exponential distribution is commonly used in various fields, such as finance, engineering, and biology, to model the time between events. For example, it can be used to model the time between customer arrivals in a queue, the time between equipment failures, or the time between radioactive decay events.

5. How do you calculate probabilities using the exponential distribution?

To calculate probabilities using the exponential distribution, simply substitute the values for the rate parameter (λ) and the time interval (x) into the appropriate formula, either the probability density function or the cumulative distribution function. You can also use statistical software or tables to find the probabilities for specific values.

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