Dapatkan PDF atau CDF dari distribusi Weibull.
=WEIBULL.DIST(x, alpha, beta, cumulative)
| Parameter | Deskripsi |
|---|---|
x |
The value at which to evaluate the distribution (must be ≥ 0). |
alpha |
The shape parameter of the distribution (must be > 0). |
beta |
The scale 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 this probability, use the cumulative distribution function (CDF):
=WEIBULL.DIST(800, 1.5, 1000, TRUE) // returns 0.511
To find the probability that a bulb lasts longer than 800 hours, subtract the CDF from 1:
=1-WEIBULL.DIST(800, 1.5, 1000, TRUE) // returns 0.489
For example, consider different brands of light bulbs with varying quality levels. All follow a Weibull distribution with shape parameter alpha = 2.0
=WEIBULL.DIST(800, 2.0, 1000, TRUE) // returns 0.473
=WEIBULL.DIST(800, 2.0, 1500, TRUE) // returns 0.198
=WEIBULL.DIST(800, 2.0, 2000, TRUE) // returns 0.095
=WEIBULL.DIST(2.5, 5.0, 2.0, FALSE) // returns 0.289 (PDF)
=WEIBULL.DIST(2.5, 5.0, 2.0, TRUE) // returns 0.953 (CDF)
Using the CDF, you can calculate probabilities for different scenarios. To calculate the probability of an event occurring below a threshold:
=WEIBULL.DIST(threshold, alpha, beta, TRUE)