{"id":917,"date":"2017-04-20T05:17:20","date_gmt":"2017-04-20T05:17:20","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/wm-concepts-statistics\/?post_type=chapter&p=917"},"modified":"2019-06-28T15:33:19","modified_gmt":"2019-06-28T15:33:19","slug":"introduction-discrete-probability-distribution","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/wm-concepts-statistics\/chapter\/introduction-discrete-probability-distribution\/","title":{"raw":"Introduction to Discrete Probability Distribution","rendered":"Introduction to Discrete Probability Distribution"},"content":{"raw":"

What you'll learn to do: Use probability distributions for discrete and continuous random variables to estimate probabilities and identify unusual events.<\/h2>\r\n\"Probability\r\n\r\nIn studying a probability experiment, it is often useful to work with quantitative values to represent outcomes. These quantitative values associated to outcomes are called random variables. In this section, we explore random variables that take on numeric values that can be listed.\u00a0 For example, number of books is a discrete random variable. On the other hand, hair color is not a random variable because hair color is not numeric. Also, any decimal between 0 and 1 is not discrete because we cannot list out all the decimals. In analyzing real life data, we will apply fundamental concepts about discrete probability distributions to estimate likelihoods and draw inferences.\r\n

Contribute!<\/h2>
Did you have an idea for improving this content? We\u2019d love your input.<\/div>Improve this page<\/a>Learn More<\/a>","rendered":"

What you’ll learn to do: Use probability distributions for discrete and continuous random variables to estimate probabilities and identify unusual events.<\/h2>\n

\"Probability<\/p>\n

In studying a probability experiment, it is often useful to work with quantitative values to represent outcomes. These quantitative values associated to outcomes are called random variables. In this section, we explore random variables that take on numeric values that can be listed.\u00a0 For example, number of books is a discrete random variable. On the other hand, hair color is not a random variable because hair color is not numeric. Also, any decimal between 0 and 1 is not discrete because we cannot list out all the decimals. In analyzing real life data, we will apply fundamental concepts about discrete probability distributions to estimate likelihoods and draw inferences.<\/p>\n

Contribute!<\/h2>\n
Did you have an idea for improving this content? We\u2019d love your input.<\/div>\n

Improve this page<\/a>Learn More<\/a><\/p>\n\n\t\t\t

\n\t\t\t

Candela Citations<\/h3>\n\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
CC licensed content, Shared previously<\/div>