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Poisson Probability Distribution
- It is a set of probabilities which is acquired for discrete events which are described as being rare. Occasions similar to binominal distribution however it have very low probabilities and large sample size.
Illustrations of such events in business are as given below:
i. Telephone congestion at midnight
ii. Traffic jams at certain roads at 9 o'clock at night
iii. Sales boom
iv. Attaining an age of 100 years or centurion
- Poisson probabilities are frequently applied in business conditions in order to find out the numerical probabilities of such events happening.
- The formula utilized to determine such probabilities is as given below:
P(x) = e-λ λx/x!
Whereas x = No. of successes
? = mean no. of the successes in the sample (? = np)
e = 2.718
prove that the composition of two simple harmonic of the same period and in the same straight line is also a simple harmonic motion of the same period.
It is the full blown case where we consider every final possible force which can act on the system. The differential equation in this case, Mu'' + γu' + ku = F( t) The displ
tan45 degrees=tan(90degrees-45degrees)
Exponential and Geometric Model Exponential model y = ab x Take log of both sides log y = log a + log b x log y = log a + xlog b Assume log y = Y and log a
(a) Derive the Marshalian demand functions and the indirect utility function for the following utility function: u(x1, x2, x3) = x1 1/6 x2 1/6 x3 1/6 x1≥ 0, x2≥0,x3≥ 0
Squeeze Theorem (Sandwich Theorem and the Pinching Theorem) Assume that for all x on [a, b] (except possibly at x = c ) we have, f ( x )≤ h (
0.36585858 find the sum if it is converges
We desire to construct a box whose base length is three times the base width. The material utilized to build the top & bottom cost $10/ft 2 and the material utilized to build the
write FORTRAN programme to generate prime numbers between 1 and 100
Dawn wants to evaluate the volume of a basketball along with the volume of a tennis ball. Which formula will she use? The volume of a sphere is 4/3 times π times the radius cub
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