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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
I need help converting my project fractions to the number 1.
(19 + 7 i)
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with t =[a b c] construct a matrix A = 1 1 1 a b c a^2 b^2 c^2 a^3 b^3 c^3 using vector operations
project
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What lines are invariant under the transformation [(103)(01-4)(001)]? I do not know where to even begin to solve this. Please help!!
use the distributive law to write each multiplication in a different way. the find the answer. 12x14 16x13 14x18 9x108 12x136 20x147
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