1 / 17

Section 6.2.2 Probability Models

Section 6.2.2 Probability Models. AP Statistics November 25, 2009 Berkley High School todd1@toddfadoir.com. Notation. Probability Rules: Rule 1. Probability Rules: Rule 2. Probability Rules: Rule 3. Probability Rules: Rule 4 . Probability Rules: Rule 4 (Different Notation) . Example.

merv
Télécharger la présentation

Section 6.2.2 Probability Models

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. Section 6.2.2Probability Models AP Statistics November 25, 2009 Berkley High School todd1@toddfadoir.com

  2. Notation AP Statistics, Section 6.2, Part 2

  3. Probability Rules: Rule 1 AP Statistics, Section 6.2, Part 2

  4. Probability Rules: Rule 2 AP Statistics, Section 6.2, Part 2

  5. Probability Rules: Rule 3 AP Statistics, Section 6.2, Part 2

  6. Probability Rules: Rule 4 AP Statistics, Section 6.2, Part 2

  7. Probability Rules: Rule 4 (Different Notation) AP Statistics, Section 6.2, Part 2

  8. Example • What is P(Married)? • P(Married)=.622 AP Statistics, Section 6.2, Part 2

  9. Example • What is P(not Married)? • P(not Married)= 1-.622=.378 (Complement Rule) AP Statistics, Section 6.2, Part 2

  10. Example • What is P(Never married or Divorced)? • Since “Never married and Divorced are disjoint, P(Never married or Divorced)= .298+.075=.373 (Addition Rule for disjoint events) AP Statistics, Section 6.2, Part 2

  11. Probabilities in a finite space • Assign a probability to each individual outcome. These probabilities must be numbers between 0 and 1 and must have sum of 1. • The probabilities of any event is the sum of the probabilities of the outcomes making up the event. AP Statistics, Section 6.2, Part 2

  12. Benford’s Law • Benford’s Law is the distribution of first digits in tax records, payment records, invoices, etc. • This distribution is handy in spotting illegitimate records. AP Statistics, Section 6.2, Part 2

  13. Example AP Statistics, Section 6.2, Part 2

  14. Example AP Statistics, Section 6.2, Part 2

  15. Example AP Statistics, Section 6.2, Part 2

  16. Equally Likely Outcomes AP Statistics, Section 6.2, Part 2

  17. Assignment • Exercises: 6.19-6.23 AP Statistics, Section 6.2, Part 2

More Related