7 PROBABILITY Copyright Cengage Learning All rights reserved
7 PROBABILITY Copyright © Cengage Learning. All rights reserved.
7. 5 Conditional Probability and Independent Events Copyright © Cengage Learning. All rights reserved.
More on Tree Diagrams 3
Applied Example 6 – Quality Control The panels for the Pulsar 32 -inch widescreen LCD HDTVs are manufactured in three locations and then shipped to the main plant of Vista Vision for final assembly. Plants A, B, and C supply 50%, 30%, and 20%, respectively, of the panels used by the company. The quality-control department of the company has determined that 1% of the panels produced by Plant A are defective, whereas 2% of the panels produced by Plants B and C are defective. What is the probability that a randomly selected Pulsar 32 -inch HDTV will have a defective panel? 4
Applied Example 6 – Solution Let A, B, and C denote the events that the HDTV chosen has a panel manufactured in Plant A, Plant B, and Plant C, respectively. Also, let D denote the event that a HDTV has a defective panel. Using the given information, we draw the tree diagram shown in Figure 19. (The events that result in a HDTV with a defective panel being selected are circled. ) Tree diagram showing the probabilities of producing defective panels at each plant Figure 19 5
Applied Example 6 – Solution cont’d Taking the product of the probabilities along each branch leading to such an event and then adding them, we obtain the probability that a HDTV chosen at random has a defective panel. Thus, the required probability is given by (. 5)(. 01) + (. 3)(. 02) + (. 2)(. 02) =. 005 +. 006 +. 004 =. 015 6
Practice p. 408 Self-Check Exercises #2 7
- Slides: 7