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Evaluate P (A $\cup$ B $\cup$ C)?
related to an answer for:
For any two events A and B, P(A $\cap$ B) + P (A $\cup$ B) = P(A) - P(B). True or Fale?
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Apr 18, 2013
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balaji.thirumalai
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Answer: P (A $\cup$ B $\cup$ C) = P(A) + P(B) + P(C) + P (A $\cap$ B $\cap$ C) - P (A$\cap$B) - P(B$\cap$C) - P(C$\cap$A)
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Apr 18, 2013
by
balaji.thirumalai
If A and B are mutually exclusive, then P(A$\cup$B) = P(A) + P(B). True or False?
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Evaluate P ((E $\cup$ F)|G)?
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For any two events A and B, P(A $\cap$ B) + P (A $\cup$ B) = P(A) - P(B). True or Fale?
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If P (F | E) = P (F), provided P (E) ≠ 0, then which of the following is true about E and F? a) E and F are mutually independant, b) E and F are mutually exclusive, c) E and F are neither mutually exclusive nor independant, d) E and F are both mutually exclusive and independant?
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A, B and C are mutually independent $\rightarrow$ P (A $\cap$ B $\cap$ C) = P (A) P (B) P (C). True or False?
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If A and B are mutually exclusive, then P(A$\cup$B) = P(A) + P(B). True or False?
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Apr 18, 2013
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Let $X$ be a random variable whose possible values $x_1, x_2, ..., x_n$ occur with probabilities $p(x_1), p(x_2), ..., p(x_n)$ respectively. Then if $\mu$ is the mean of $X$, what is the standard deviation of $X$?
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A random variable X taking values 0, 1, 2, ..., n is said to have a binomial distribution with parameters n and p, if its probability distibution is given by what?
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