How do you determine the required value of the missing probability to make the following distribution a discrete probability distribution?

X P(x)
0 0.30
1 0.15
2 ?
3 0.20
4 0.15
5 0.05

Answer 1

# P(2)=0.15#.

In any Prob. Dist., we must have, #(1) sumP(x)=1, &, (2)" each "P(x)>=0.#
Now, #sumP(x)=1 rArr P(0)+P(1)+P(2)+...+P(5)=1#
#rArr 0.30+0.15+P(2)+0.20+0.15+0.05=1#
#rArr P(2)=0.15#.
We readily have, each#P(x)>=0.#
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Answer 2

To determine the required value of the missing probability to make a distribution a discrete probability distribution, you need to ensure that the sum of all probabilities in the distribution equals 1. Therefore, subtract the sum of the known probabilities from 1 to find the value of the missing probability. Once you have found this value, ensure that it satisfies the properties of a discrete probability distribution, including being non-negative and less than or equal to 1.

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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