Dapatkan PDF atau CDF dari distribusi eksponensial.
=EXPON.DIST(x, lambda, cumulative)
| Parameter | Deskripsi |
|---|---|
x |
The value at which to evaluate the distribution (must be ≥ 0). |
lambda |
The rate parameter of the distribution (must be > 0). |
cumulative |
A logical value that determines the form of the function. If TRUE, returns the cumulative distribution function; if FALSE, returns the probability density function. |
To calculate the probability that the next customer will arrive within 10 minutes, we can use the cumulative distribution function (CDF):
=EXPON.DIST(10/60, 12, TRUE) // returns 0.865
To find the probability that the next customer arrives after 10 minutes, subtract the CDF from 1:
=1-EXPON.DIST(10/60, 12, TRUE) // returns 0.135
For example, consider different coffee shops with varying customer traffic levels. All follow an exponential distribution, but they have different rat
=EXPON.DIST(5/60, 6, TRUE) // returns 0.393
=EXPON.DIST(5/60, 12, TRUE) // returns 0.632
=EXPON.DIST(5/60, 24, TRUE) // returns 0.865
=EXPON.DIST(1.5, 2.0, FALSE) // returns 0.100 (PDF)
=EXPON.DIST(1.5, 2.0, TRUE) // returns 0.950 (CDF)
Using the CDF, you can easily calculate probabilities for different scenarios. To calculate the probability of an event occurring below a threshold:
=EXPON.DIST(threshold, lambda, TRUE)