1 / 18

1) Draw and label a probability scale.

2 ) List 3 things that we can classify as an “unlikely” event. 3 ) Assign a value of 0 to 1 of the probability of you having a job one day. 1) Draw and label a probability scale. 4 ) Write 4/9 as a decimal and percentage (no calculators).

madison
Download Presentation

1) Draw and label a probability scale.

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. 2) List 3 things that we can classify as an “unlikely” event. 3) Assign a value of 0 to 1 of the probability of you having a job one day. 1) Draw and label a probability scale. 4) Write 4/9 as a decimal and percentage (no calculators). 5) What has a greater value, 11/13 or 7/9 (no calculators)?

  2. Review…

  3. Probability Scale…

  4. Not likely Likely Even Chance Certain Impossible

  5. Relative Frequency in experiments… Outcome Frequency Relative Frequency = Total Frequency (all experiments)

  6. Relative Frequency Table… 1 III 3 =3÷15 = 0.2 2 3 4 5 6 1.0

  7. Fill out the relative frequency tables on your graphic organizer for 5, 25, and 50 dice rolls.

  8. Relative Frequency Table… 1 III 3 =3÷15 = 0.2 2 II 2 =2÷15 = 0.133 3 I 1 =1÷15 = 0.0667 4 III 3 =3÷15 = 0.2 5 IIII 5 =5÷15 = 0.333 6 I 1 =1÷15 = 0.0667 IIIIIIIIIIII 15 1.0

  9. As relative frequency experiment trials get closer to infinity…

  10. Theoretical Probability.

  11. Sample Space Tree Diagram… 1 2 3 P 4 5 6

  12. Sample Space S = {…} Example: a bag of skittles… S = {yellow, orange, green, purple, yellow} n(s) = 5

  13. Pg. 401 # 1-7

  14. What is a favourable outcome?

  15. Simple Probability # of favourable outcomes P(event) = # of total outcomes How does this compare to the relative frequency formula???

  16. Example… 2 1 P(1,2) = = 6 3

  17. Pg. 404 # 1-9

  18. Conclusion… We can use relative frequency tables for experimental probability, but using simple probability is more accurate and efficient.

More Related