1 / 9

sponge

sponge. Example 1B: Using Finite Differences to Determine Degree. Use finite differences to determine the degree of the polynomial that best describes the data. The x -values increase by a constant 3. Find the differences of the y -values. .

eze
Download Presentation

sponge

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. sponge

  2. Example 1B: Using Finite Differences to Determine Degree Use finite differences to determine the degree of the polynomial that best describes the data. The x-values increase by a constant 3. Find the differences of the y-values. First differences: 25 10 15 37 73 Not constant Second differences: –15 5 22 36 Not constant Third differences: 20 17 14 Not constant Fourth differences: –3 –3 Constant The fourth differences are constant. A quartic polynomial best describes the data.

  3. Check It Out! Example 1 Use finite differences to determine the degree of the polynomial that best describes the data. The x-values increase by a constant 3. Find the differences of the y-values. First differences: 20 6 0 2 12 Not constant Second differences: –14 –6 2 10 Not constant Third differences: 8 8 8 Constant The third differences are constant. A cubic polynomial best describes the data.

  4. Probability rules • 1. Any probability is a number between 0 and 1. • 2. The sum of the probabilities of all possible outcomes must equal 1. • 3. If two events have no outcomes in common, the probability that one or the other occurs is the sum of their individual probabilities. • 4. The probability that an event does not occur is 1 minus the probability that the event does occur.

  5. Distance learning • P(40 or over) = • P(not 18 to 23) = • P(30 or over) =

  6. Benford’s law • http://www.youtube.com/wat • ch?v=O8N26edbqLM

More Related