NOTES_Chapter 7_Random Variables and Discrete Probability Distributions

NOTES_Chapter 7_Random Variables and Discrete Probability Distributions

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Chapter 7: Random Variables and Discrete Probability Distributions 7.1 Random Variables and Probability Distributions Random Variable – a function or rule the assigns a number to each outcome of an experiment 1. Discrete random variable – can take on a countable number of values 2. Continuous random variable – values are uncountable 3. Probability distribution – a table, formula, or graph that describes the values a random variable and the probability associated with these variables Discrete Probability Distributions 1. Requirements for a Distribution of a Discrete Random Variable 1.1. 1.2. Where the random variable can assume values x and P(x) is the probability that the random variable is equal to x . Probability Distributions and Populations – the importance of probability distributions derives from their use as representatives of populations Describing the Population/Probability Distribution 1. Population Mean – the weighted average of all of its values. The weights are the probabilities.
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 3

NOTES_Chapter 7_Random Variables and Discrete Probability Distributions

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online