Mathematics for Business, Science and Technology: With MATLAB and Spreadsheet Applications, Second Edition

11.4: The Exponential Distribution

11.4 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 11.7 and the cdf in Figure 11.8.


Figure 11.7: The pdf of the exponential distribution

Figure 11.8: The cdf of the exponential distribution
Example 11.7

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

Solution:

The probability P( 4 < x < 8) is computed from the cross-hatched area in Figure 11.11.

For this example,


From (11.31),


and


By substitution into (11.32),



Figure 11.9: Computation of the pdf for Example 11.7

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

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

<span class="serif">=EXPONDIST(x,lambda,cumulative)</span>

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 11.7, ? = 1/ ?

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