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Risk management (KGNB_NETA002)

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In which example would the application of the Poisson distribution be appropriate?
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Indicate when the use of the Binomial distribution is justified in risk assessment.
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In which case is the Binomial distribution well-applicable?
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Which function can be used in Excel to calculate the cumulative value of the Binomial distribution?
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The parameters of the Binomial distribution describe the average frequency of events.
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50%
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In a study, 12 out of 200 products were defective. Which is the best estimate for the Binomial distribution's p parameter?
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The Poisson distribution is the ideal choice when examining how many times a rare event occurs within a given time period.
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0%
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The Poisson distribution is suitable for providing an accurate probability for the number of occurring events based on a small sample.
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100%
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For a Binomial distribution, if n = 100 and p = 0.1, the expected value is 10.
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If the Poisson distribution's parameter λ is 7, the expected value and the standard deviation are identical in value.
33%
67%
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