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For discrete random variables, when making the probability statements that involve an inequality, it matters whether the inequality is strict or not. In other words, in general, for any discrete random variable X: X < c is not the same as X < c and X > c is not the same as X > c unless P(X= c) = 0 which is not true in general. Complete the following statements of the subdivision rule for a Discrete Random variable X: d✓ P(X

For discrete random variables, when making the probability statements that involve an inequality, it matters whether the inequality is strict or not. In other words, in general, for any discrete random variable X: X < c is not the same as X < c and X > c is not the same as X > c unless P(X= c) = 0 which is not true in general. Complete the following statements of the subdivision rule for a Discrete Random variable X: d✓ P(X

College Algebra
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.2: Probability
Problem 3E: The conditional probability of E given that F occur is P(EF)= _____________. So in rolling a die the...
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X Question 12 了 For discrete random variables, when making the probability statements that involve an inequality, it matters whether the inequality is strict or not. In other words, in general, for any discrete random variable X: X < c is not the same as X ≤ c and X > c is not the same as X > c unless P(X= c) = 0 which is not true in general. Complete the following statements of the subdivision rule for a Discrete Random variable X: P(X<b)-P(X<a) c P(X<b)-P(Xsa) b✓ P(Xsb)-P(X<a) a P(Xsb)-P(Xsa) a. P(asXsb) b. P(a<x<b) c. P(asx<b) d. P(a<x<b)
Transcribed Image Text:X Question 12 了 For discrete random variables, when making the probability statements that involve an inequality, it matters whether the inequality is strict or not. In other words, in general, for any discrete random variable X: X < c is not the same as X ≤ c and X > c is not the same as X > c unless P(X= c) = 0 which is not true in general. Complete the following statements of the subdivision rule for a Discrete Random variable X: P(X<b)-P(X<a) c P(X<b)-P(Xsa) b✓ P(Xsb)-P(X<a) a P(Xsb)-P(Xsa) a. P(asXsb) b. P(a<x<b) c. P(asx<b) d. P(a<x<b)
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