I really liked that you provided few examples for those more difficult distributions. What I would love to see is an explanation of where do the probability formulas in Poisson and Binomial distributions come from. I see that they are combinatorics formulas, but I'll have to check euler^(- miu) in Poisson.
In Poisson, the a time interval needs to be stated. So Probability of 7 customers in 1 hour or in one day. Or the probability of 0 customers of in 1 hour or one day.
These values are simply constant, they were calculated using integration when the curve was originally formed. 68.3% of the area under the curve lies within +- 1 standard deviation, 95% lays between +-2 standard deviations, and so on.
I really liked that you provided few examples for those more difficult distributions. What I would love to see is an explanation of where do the probability formulas in Poisson and Binomial distributions come from. I see that they are combinatorics formulas, but I'll have to check euler^(- miu) in Poisson.
In Poisson, the a time interval needs to be stated. So Probability of 7 customers in 1 hour or in one day. Or the probability of 0 customers of in 1 hour or one day.
Thank you for this very useful video!
Glad it was helpful!
brother you have no idea how much this assisted me thanks a lot.
What about Geometric, Hypergeometric, Negative Binomial, Exponential, Uniform Discrete, Uniform Continuous, etc. Distributions?
Thank you sir!
Can't you use the poisson formula to calculate interval event results like P(x
Thank you so much for very clean explanation 🙏🙏
How is E found?
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Can anyone say why perticularly 68.3%, 95%, 99.7%
These values are simply constant, they were calculated using integration when the curve was originally formed. 68.3% of the area under the curve lies within +- 1 standard deviation, 95% lays between +-2 standard deviations, and so on.
How u got 2.71828 for the Poisson distr?
It is a constant value of the exponential (e)
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not bahhhd buddy