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. 1. Complete the following statement of the complementary rule for a Discrete Random variable X: P(X>6)+P(X<6) ✓ = 1 2. Complete the following statement of the complementary rule for a Discrete Random variable X: 1- P(X < 6) Select an answer Select an answer Part 1 of 2 P(X<6) P(X>6) P(X≤6) P(X26) Part 2 of 2
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. 1. Complete the following statement of the complementary rule for a Discrete Random variable X: P(X>6)+P(X<6) ✓ = 1 2. Complete the following statement of the complementary rule for a Discrete Random variable X: 1- P(X < 6) Select an answer Select an answer Part 1 of 2 P(X<6) P(X>6) P(X≤6) P(X26) Part 2 of 2
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.CR: Chapter 12 Review
Problem 84CR
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