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. For a discrete random variable, X, rewrite the following statement using a non-strict inequality: X < 2 is the same as X≤1 2. For a discrete random variable, X, rewrite the following statement using a strict inequality: X ≤ 2 is the same as X<2 X 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. For a discrete random variable, X, rewrite the following statement using a non-strict inequality: X < 2 is the same as X≤1 2. For a discrete random variable, X, rewrite the following statement using a strict inequality: X ≤ 2 is the same as X<2 X Part 2 of 2

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter9: Counting And Probability

Section9.3: Binomial Probability

Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...

See similar textbooks