Do any electric lights have statistical lifetimes X~Exp(λ)?

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The discussion centers on the statistical modeling of light bulb lifetimes, specifically questioning whether the exponential distribution accurately represents their lifetimes. It concludes that the exponential distribution is not a suitable model due to the aging effects that increase failure rates over time, suggesting the Weibull distribution as a better alternative. The conversation highlights the "bathtub" curve phenomenon in product lifetimes, where failure rates vary significantly at different life stages. Additionally, it notes that the Weibull distribution's shape parameter can greatly influence its applicability to real light bulbs. Overall, the need for clearer communication about these statistical models in educational problems is emphasized.
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I've come across a number of problems in elementary probability theory and statistics that can be exemplified as follows:
The lifetime, in years, of a certain class of light bulbs has an exponential distribution with parameter λ = 2. What is the probability that a bulb selected at random from this class will last more than 1.5 years?
The lifetime of a particular type of fluorescent lamp is exponentially distributed with expectation 1.6 years. [...]
Suppose that the lifetime of a particular brand of light bulbs is exponentially distributed with mean of 400 hours. [...]
Naturally, real lamps decay over time, so their lifetimes can't be memoryless. With that being said, is the exponential distribution a good approximation for the statistical lifetimes of any real lamps? Why/why not? If not, are there any other macroscopic systems whose lifetimes are modeled well by the exponential distribution?
 
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Many electronic and mechanical products (disk drives, for example) fail according to a "bathtub" curve. When first placed into service, the failure rate is high as units with manufacturing defects cull themselves. After that the failure rate is low and essentally flat until components reach their design lifetime and wear out; the failure rate then climbs sharply.
 
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Lord Jestocost said:
Have a look at: H.S. Leff, 1990. Illuminating physics with light bulbs. The Physics Teacher, 28, 30-35
Illuminating physics with light bulbs

The exponential distribution isn't a good approximation for the statistical lifetimes of real light bulbs. In case the failure rate increases with time due to aging, on uses the so-called "Weibull" family of distributions: https://www.mathpages.com/home/kmath122/kmath122.htm

Fascinating, thank you! I would have expected to see something more like the bathtub curve that Nugatory mentioned. Interesting derivation of the Weibull distribution's CDF F(𝜏) in the Illuminating physics article (well, 1-F(𝜏), named the surviving fraction).

At least the exponential distribution kind of makes sense in that it's the Weibull distribution with shape parameter k=1, whereas the case of k=4 seems to be much more relevant for real incandescent light bulbs. Since the Weibull PDF is so different for these two choices of k, it seems that authors of problems like the ones in my original post should at least mention it in the footnote.
 
It may be shown from the equations of electromagnetism, by James Clerk Maxwell in the 1860’s, that the speed of light in the vacuum of free space is related to electric permittivity (ϵ) and magnetic permeability (μ) by the equation: c=1/√( μ ϵ ) . This value is a constant for the vacuum of free space and is independent of the motion of the observer. It was this fact, in part, that led Albert Einstein to Special Relativity.
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