![The 5 discrete distributions every Data Scientist should know | by Rahul Agarwal | Towards Data Science The 5 discrete distributions every Data Scientist should know | by Rahul Agarwal | Towards Data Science](https://miro.medium.com/max/1400/1*jJW5Vfg4hsZ8-ZLf9_hi-g.png)
The 5 discrete distributions every Data Scientist should know | by Rahul Agarwal | Towards Data Science
![Chapter 21 Random Variables Discrete: Bernoulli, Binomial, Geometric, Poisson Continuous: Uniform, Exponential, Gamma, Normal Expectation & Variance, Joint. - ppt download Chapter 21 Random Variables Discrete: Bernoulli, Binomial, Geometric, Poisson Continuous: Uniform, Exponential, Gamma, Normal Expectation & Variance, Joint. - ppt download](https://images.slideplayer.com/19/5803308/slides/slide_6.jpg)
Chapter 21 Random Variables Discrete: Bernoulli, Binomial, Geometric, Poisson Continuous: Uniform, Exponential, Gamma, Normal Expectation & Variance, Joint. - ppt download
![SOLVED:Suppose that X is a random variable with probability mass function p(x) = P(X =x) = c(0.2*), X=0, 5 . (a) (5 points) Find the value of € so that p(x) is SOLVED:Suppose that X is a random variable with probability mass function p(x) = P(X =x) = c(0.2*), X=0, 5 . (a) (5 points) Find the value of € so that p(x) is](https://cdn.numerade.com/ask_images/76e6057996374bffa4bb28e8b067ca19.jpg)
SOLVED:Suppose that X is a random variable with probability mass function p(x) = P(X =x) = c(0.2*), X=0, 5 . (a) (5 points) Find the value of € so that p(x) is
![The 5 discrete distributions every Data Scientist should know | by Rahul Agarwal | Towards Data Science The 5 discrete distributions every Data Scientist should know | by Rahul Agarwal | Towards Data Science](https://miro.medium.com/max/1400/1*pGloz_dVVgO7BUJG8--_gQ.png)
The 5 discrete distributions every Data Scientist should know | by Rahul Agarwal | Towards Data Science
![2. Det X be a geometric random variable with mean S. Define a new random variable Y using the following function Y-11,-31 ifXcS 2 ifX25 Where| | denote the absolute value. (a) 2. Det X be a geometric random variable with mean S. Define a new random variable Y using the following function Y-11,-31 ifXcS 2 ifX25 Where| | denote the absolute value. (a)](https://img.homeworklib.com/images/3e03896a-2f0d-4a24-a699-1f20e1290b58.png?x-oss-process=image/resize,w_560)