which situation is best modeled by an exponential distribution? tafadzwa runs between 10 and 16 laps every day. his times get slower as he gets tired, but his daily average is 48.2 s per lap. what is the probability that his mean lap time tomorrow will be less than 45 s? suppose that meteors large enough to cause mass extinction strike the earth at regular, although exceedingly large, intervals. what is the probability that a large meteor strike will cause a mass extinction event within the next 1000 years? on a dark desert highway, drivers fall asleep and run off the road randomly. what is the probability that a driver will run off the road in one particular 10-mile stretch of this highway? suppose that people call in sick randomly and independently of one another at a business called acme anvil supply. on average, one person calls in sick per week. what is the probability that no one will call in sick next week? suppose that 0.76% of tires are defective, and defective tires occur independently of one another. what is the probability that no more than three of the next 100 tires are defective?



Answer :

The situation that is best represented by an exponential distribution is given by the following option:

Tafadzwa runs between 10 and 16 laps every day. his times get slower as he gets tired, but his daily average is 48.2 s per lap. what is the probability that his mean lap time tomorrow will be less than 45 s?.

Exponential distribution

The exponential probability distribution, with mean m, is described by the following mass function:

[tex]f(x) = \mu e^{-\mu x}[/tex]

In which [tex]\mu = \frac{1}{m}[/tex] is the decay parameter.

From this, we get that the exponential distribution is used when we want to study the time between events in a distribution, and only the first option in this problem gives it.

As for the other options, the distributions are as follows:

  • Meteor: Poisson distribution or binomial distribution, mean in a given time, we want to find the probability of a number.
  • Drivers asleep in the highway: Poisson or binomial, also number of events in an interval.
  • People calling in sick: Binomial distribution.
  • Defective tires: Binomial distribution.

More can be learned about the exponential distribution at https://brainly.com/question/16371214

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