1 / 6

Mean, variance, standard deviation and expectation

Objectives. Find the mean, variance, standard deviation, and expected value for a discrete random variable . Introduction. Once we know that a probability distribution exist, we can describe it using various descriptive statistics Visually using a graph, table, or formula Algebraically, we can fin

tuvya
Download Presentation

Mean, variance, standard deviation and expectation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

    1. Mean, variance, standard deviation and expectation Section 5-3

    2. Objectives Find the mean, variance, standard deviation, and expected value for a discrete random variable

    3. Introduction Once we know that a probability distribution exist, we can describe it using various descriptive statistics Visually using a graph, table, or formula Algebraically, we can find the mean, variance, and standard deviation

    4. Mean of a general discrete probability distribution m= population mean since ALL possible values are considered Mean is also known as “Expected Value” Mean should be rounded to one more decimal place than the outcome x. Always simplify fractions

More Related