![Let X be a binomial random variable with n = 25 and p = 0.01. A). Use the binomial table to find P(X = 0), P(X = 1), and P(X = 2). Let X be a binomial random variable with n = 25 and p = 0.01. A). Use the binomial table to find P(X = 0), P(X = 1), and P(X = 2).](https://homework.study.com/cimages/multimages/16/binomial_table.5156634130576318247.png)
Let X be a binomial random variable with n = 25 and p = 0.01. A). Use the binomial table to find P(X = 0), P(X = 1), and P(X = 2).
![C. Binomial Probability Distribution (From n = 2 to n = 10) - Project Management Analytics: A Data-Driven Approach to Making Rational and Effective Project Decisions [Book] C. Binomial Probability Distribution (From n = 2 to n = 10) - Project Management Analytics: A Data-Driven Approach to Making Rational and Effective Project Decisions [Book]](https://www.oreilly.com/api/v2/epubs/9780134190501/files/graphics/ctab01.jpg)
C. Binomial Probability Distribution (From n = 2 to n = 10) - Project Management Analytics: A Data-Driven Approach to Making Rational and Effective Project Decisions [Book]
![Table 2 from On computing the distribution function for the Poisson binomial distribution | Semantic Scholar Table 2 from On computing the distribution function for the Poisson binomial distribution | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/9f9ab578e4ba515408721fa654c42d9796045379/9-Table2-1.png)
Table 2 from On computing the distribution function for the Poisson binomial distribution | Semantic Scholar
![C. Binomial Probability Distribution (From n = 2 to n = 10) - Project Management Analytics: A Data-Driven Approach to Making Rational and Effective Project Decisions [Book] C. Binomial Probability Distribution (From n = 2 to n = 10) - Project Management Analytics: A Data-Driven Approach to Making Rational and Effective Project Decisions [Book]](https://www.oreilly.com/api/v2/epubs/9780134190501/files/graphics/ctab01a.jpg)