WASP (Write a Scientific Paper): Probability – Poisson and binomial distributions

Grech, Victor; Calleja, Neville

doi:10.1016/j.earlhumdev.2018.04.013

Cited by 2 publications

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“…A Poisson distribution is the number of successes in a Poisson experiment and is known as a Poisson random variable. The Poisson distribution is useful for modeling and finding the probability for the number of events occurring in a specific interval of time or within a given area of space (Grech and Calleja, 2018). Therefore, the preceding theorem leads to some natural measures of discrepancy with respect to the Poisson distribution (Puig and Weiß, 2020).…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Chances of Death in Covid-19 Data Using the Poisson Process

Ashgi¹,

Supian

subiyanto

2020

ijgor

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Covid-19 has brought about major changes for all people in various countries, for example creating vaccines, wearing masks and predicting the predictive state of death that will occur. In this paper, we will predict cases of covid-19 deaths using data taken from the worldometer website by taking data on daily covid-19 deaths worldwide in the period January 23rd- April 16th, 2020. Then the data is processed using the Poisson process that has been transformed using SPSS computer programming, namely the daily mortality rate in the period January 23rd - March 16th, 2020 using descriptive statistics, it was found that the death rate was 4 people in one day, then the Kolmogorov test followed the Poisson distribution, because it met the requirements for the P-value. value . Furthermore, it is calculated by using the death process, which is the chance of an event with the chance of death of all the corona suspects in the next 5 days, namely April 21 because the data has been transformed, so . the chance that no one will die within the next 45 days, namely April 30th, 2020 is close to. In the period of January 23rd - April 16th, 2020 using descriptive statistics, it was found that the death rate was 6 people in one day, then the Kolmogorov test was carried out with the results following the Poisson distribution, because it fulfilled the requirements for a P-value . Furthermore, it is calculated using the death process, which is the chance of an event with the chance of death of all the corona suspects in the next 5 days, namely April 21st, 2020 because the data has been transformed, so . The chance that no one will die within the next 45 days, namely May 31, is close to .

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Section: Introductionmentioning

confidence: 99%