dillan
Uploaded by
3 SLIDES
168 VUES
30LIKES

Conditional probability

DESCRIPTION

This article explains the concepts of combined probability and conditional probability using Math (73) and French (65) test scores as examples. It illustrates how to find the combined probability of two events, P(M ∩ F), using the formula P(M) + P(F) - P(MUF). The calculations show how to derive the conditional probability, P(A|B), from the combined probability. By breaking down the steps, readers will learn to apply these concepts to evaluate scenarios involving multiple events.

1 / 3

Télécharger la présentation

Conditional probability

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. Conditional probability M=Math test was .73 F= French test was .65 Neither M or F = .08

  2. 1st find Combined Probability • M=Math test was .73 • F= French test was .65 • Neither M or F = .08 • Combined formula • P(M ∩ F) = P(M) + P(F) – P (MUF) • .46 = .73 + .65 - .92 • Next is conditional .08 .27 .19 M .46 F N

  3. Conditional probability • Two steps • find combined probability • P(M ∩ F) = P(M) + P(F) – P (MUF) • .46 = .73 + .65 - .92 • Calculate conditional Probability • P(A | B) = Combined/P(second event) • .46/.65 = .708 passed both

More Related