[size=3]Suppose that 25% of the people in a certain large population have high blood pressure. A Sample of 7 people is selected at random from this population. Let X be the number of people in the sample who have high blood pressure, follows a binomial distribution then[/size]

[size=3]The values of the parameters of the distribution are:

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[size=4]Suppose that 25% of the people in a certain large population have high [/size][size=4]blood pressure. A Sample of 7 people is selected at random from this [/size][size=4]population. Let X be the number of people in the sample who have high [/size][size=4]blood pressure, follows a binomial distribution then,[/size]

[size=4]The probability that we find exactly one person with high blood [/size][size=4]pressure, is:[/size]

[size=4]Suppose that 25% of the people in a certain large  population have high [/size][size=4]blood pressure. A Sample of 7 people is selected at random from this [/size][size=4]population. Let X be the number of people in the sample who have high [/size][size=4]blood pressure, follows a binomial distribution then[/size]

[size=4]The probability that there will be at most one person with high blood [/size][size=4]pressure, is:[/size]

[size=4]Suppose that 25% of the people in a certain large population have high blood pressure. A Sample of 7 people is selected at random from this population. Let X be the number of people in the sample who have high blood pressure, follows a binomial distribution then

[/size][size=4]The probability that we find more than one person with high blood [/size][size=4]pressure, is:[/size]

[size=3]The number of serious cases coming to a hospital during a night follows a Poisson distribution with an average of 10.5 persons per night, then:

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[size=3]The probability that 12 serious cases coming in the next night, is:

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