Mathematics for Business, Science, and Technology with MATLAB and Excel Computations, Third Edition

10.4: The Exponential Distribution

10.4 The Exponential Distribution

The pdf of the exponential distribution is defined as


It can be shown that the mean of the exponential distribution is


and the variance is


The exponential distribution is also expressed as


By integrating the pdf, we find that the cfd of the exponential distribution is


The pdf of the exponential distribution is shown in Figure 10.7 and the cdf in Figure 10.8.


Figure 10.7: The pdf of the exponential distribution

Figure 10.8: The cdf of the exponential distribution
Example 10.7

The lifetimes for a certain brand of computer peripherals are exponentially distributed with a mean = 4 years. Compute the probability that these peripherals have lifetimes between 4 and 8 years.

Solution:

The probability P(4 < x < 8) is computed from the cross-hatched area in Figure 10.9. For this example,



Figure 10.9: Computation of the pdf for Example 10.7

From (10.31), Page 10 10,


and


By substitution into (10.32), Page 10 11,


Therefore, we can say that there is a probability of 23.3% that the peripherals have lifetimes between 4 and 8 years,

The result can also be found with Excel s EXPONDIST function whose syntax is

=EXPONDIST(x,lambda,cumulative)

where

  • x = value of the function

  • lambda = the parameter value

  • cumulative = exponential function, If TRUE, the cdf is returned, and if FALSE, the pdf is retuned,

With the data given in Example 10.7, ? = 1/ = 1/4. Then,

=EXPONDIST(8,1/4,TRUE) returns 0.865, while=EXPONDIST(4,1/4,TRUE) returns 0.632,

The area in the interval 4 ?

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