1 / 12

Using Recursion in Models and Decision Making MAMDM4a-b

Using Recursion in Models and Decision Making MAMDM4a-b. January 8 and 9. What is Recursion?.

yosefu
Download Presentation

Using Recursion in Models and Decision Making MAMDM4a-b

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. Using Recursion in Models and Decision Making MAMDM4a-b January 8 and 9

  2. What is Recursion? • Recursion (A.K.A. Iteration): the determination of a succession of elements (as numbers or functions) by operation on one or more preceding elements according to a rule or formula involving a finite number of steps • Example : • Given the rule Add 5 then multiply by 2 find the first 6 terms. Note first term =1 • 1,12,,34,78,166,342

  3. Math 1 and 2 Sequence Review Arithmetic Geometric Recursive: gn=r·gn-1 Explicit gn=g1·r(n-1) • Recursive: • an=an-1+d • Explicit • an=a1+d(n-1) • or • an=dn+a0

  4. What is a Scatterplot?A scatterplot is a graph of plotted points that show the relationship between two sets of data.

  5. Scatter plots show association or correlation and strength • Positive • As x goes up y goes up • As x goes down y goes down Weak Positive Strong Positive

  6. Negative • As x goes up y goes down • As x goes down y goes up Weak Negative Strong Negative

  7. No Correlation

  8. Correlation does not imply causation • Correlation: the relationship between two variables • Causation: the relationship of cause to effect. Is there is a causation then one variable causes the other to occur. • In an observational study, good evidence of causation requires: • a strong association that appears consistently in several studies, • a clear explanation for the claimed causal link, and • a careful examination of possible lurking variables. • Just because there is a correlation it does not mean that one variable causes the other to occur. It means there needs to be further study to determine causation.

  9. Most scatterplots you are used to are linear.

  10. Lets look at some Non linear Scatter plots • Exponential • Growth • Decay

  11. Non linear Scatter plots • Logistic • Levels off • Sinusodal • Up and down like sea waves

  12. When analyzing bivariate statistics, consider • Form: Linear or NonLinear Pattern • Direction: Positive, Negative or no relationship • Relative Strength: data points tightly clustered together along line or curve (strong) or scattered (weak)

More Related