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Q. Illustrate Exponential Distribution?
Ans.
These are two examples of events that have an exponential distribution:
The length of time you wait at a bus stop for the next bus.
The length of time a scientist waits with a Geiger counter until a radioactive particle is recorded.
The exponential distribution occurs when events comply with the following requirements:
Requirements
Events occur randomly over time according to the following:
1. Independence - the number of occurrences in non-overlapping intervals are independent.
2. Individuality - events don't occur too close to each other (i.e. in a short amount of time the probability of 2 or more occurrences is zero.)
3. Uniformity - there is a constant rate at which occurrences occur.
If X represents the length of time we wait for the first occurrence, then X has an exponential distribution.
Find the solution to the following system of equations using substitution:
us consider the following mass-spring-damper system: md2xdt2+cdxdt+kx=0 with m=5 kg as the mass of the body, k=1.6N/m as the spring constant and two different values of c.
x^2 + 10x +2 4
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tan^2=(secx-1)(secx+1)
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Introduction: In this project, you will explore a few sorting algorithms. You will also test their efficiency by both timing how long a given sorting operation takes and count
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