logging in or signing up sec5 2 Monica Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 20 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: March 21, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Chapter 5Probability: Chapter 5 Probability 5.2 The Addition Rule; ComplementsSlide2: Let E and F be two events. E and F is the event consisting of simple events that belong to both E and F. E or F is the event consisting of simple events that belong to either E or F or both. Slide3: EXAMPLE Illustrating the Addition Rule Suppose that a pair of dice are thrown. Let E = “the first die is a two” and let F = “the sum of the dice is less than or equal to 5”. Find P(E or F) directly by counting the number of ways E or F could occur and dividing this result by the number of possible outcomes.Slide4: Addition Rule For any two events E and F, P(E or F) = P(E) + P(F) – P(E and F)Slide5: EXAMPLE The Addition Rule Redo the last example using the Addition Rule.Slide6: Venn diagrams represent events as circles enclosed in a rectangle. The rectangle represents the sample space and each circle represents an event.Slide8: If events E and F have no simple events in common or cannot occur simultaneously, they are said to be disjoint or mutually exclusive. Slide9: Addition Rule for Mutually Exclusive Events If E and F are mutually exclusive events, then P(E or F) = P(E) + P(F) In general, if E, F, G, … are mutually exclusive events, then P(E or F or G or …) = P(E) + P(F) + P(G) + … Slide10: Events E and F are Mutually Exclusive Events E, F and G are Mutually ExclusiveSlide11: EXAMPLE Using the Addition Rule The following data represent the language spoken at home by age for residents of San Francisco County, CA between the ages of 5 and 64 years. Source: United States Census Bureau, 2000 Supplementary Survey Slide12: (a) What is the probability a randomly selected resident of San Francisco County between 5 and 64 years speaks English only at home? (b) What is the probability a randomly selected resident of San Francisco between 5 and 64 years is 5 - 17 years old? (c ) What is the probability a randomly selected resident of San Francisco between 5 and 64 years is 5 - 17 years old or speaks English only at home?Slide15: EXAMPLE Illustrating the Complement Rule According to the American Veterinary Medical Association, 31.6% of American households own a dog. What is the probability that a randomly selected household does not own a dog?Slide16: EXAMPLE Illustrating the Complement Rule The data on the following page represent the travel time to work for residents of Hartford County, CT. (a) What is the probability a randomly selected resident has a travel time of 90 or more minutes? (b) What is the probability a randomly selected resident has a travel time less than 90 minutes?Slide17: Source: United States Census Bureau, 2000 Supplementary Survey You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
sec5 2 Monica Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 20 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: March 21, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Chapter 5Probability: Chapter 5 Probability 5.2 The Addition Rule; ComplementsSlide2: Let E and F be two events. E and F is the event consisting of simple events that belong to both E and F. E or F is the event consisting of simple events that belong to either E or F or both. Slide3: EXAMPLE Illustrating the Addition Rule Suppose that a pair of dice are thrown. Let E = “the first die is a two” and let F = “the sum of the dice is less than or equal to 5”. Find P(E or F) directly by counting the number of ways E or F could occur and dividing this result by the number of possible outcomes.Slide4: Addition Rule For any two events E and F, P(E or F) = P(E) + P(F) – P(E and F)Slide5: EXAMPLE The Addition Rule Redo the last example using the Addition Rule.Slide6: Venn diagrams represent events as circles enclosed in a rectangle. The rectangle represents the sample space and each circle represents an event.Slide8: If events E and F have no simple events in common or cannot occur simultaneously, they are said to be disjoint or mutually exclusive. Slide9: Addition Rule for Mutually Exclusive Events If E and F are mutually exclusive events, then P(E or F) = P(E) + P(F) In general, if E, F, G, … are mutually exclusive events, then P(E or F or G or …) = P(E) + P(F) + P(G) + … Slide10: Events E and F are Mutually Exclusive Events E, F and G are Mutually ExclusiveSlide11: EXAMPLE Using the Addition Rule The following data represent the language spoken at home by age for residents of San Francisco County, CA between the ages of 5 and 64 years. Source: United States Census Bureau, 2000 Supplementary Survey Slide12: (a) What is the probability a randomly selected resident of San Francisco County between 5 and 64 years speaks English only at home? (b) What is the probability a randomly selected resident of San Francisco between 5 and 64 years is 5 - 17 years old? (c ) What is the probability a randomly selected resident of San Francisco between 5 and 64 years is 5 - 17 years old or speaks English only at home?Slide15: EXAMPLE Illustrating the Complement Rule According to the American Veterinary Medical Association, 31.6% of American households own a dog. What is the probability that a randomly selected household does not own a dog?Slide16: EXAMPLE Illustrating the Complement Rule The data on the following page represent the travel time to work for residents of Hartford County, CT. (a) What is the probability a randomly selected resident has a travel time of 90 or more minutes? (b) What is the probability a randomly selected resident has a travel time less than 90 minutes?Slide17: Source: United States Census Bureau, 2000 Supplementary Survey