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Decision Tree Presentation Template

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Decision Tree

Transcript: Student Needs Less Support The Rapid Network 180 (18-26) The Rapid Go Bus Community connections Hope Network Compass college or University Disabilities Support Services Michigan Career Technical Center (MCTI) College or University Disabilities Support Services Michigan Department of Education - Low Incidence Outreach (LIO) Out of School Services College Disability Support Services Camps per diagnosis ACT Living Life Dance Co. Equestrian Center Special Olympics Association for the Blind and Visually Impaired National Consortium on Deaf-Blindness (NCDB) Student Needs Less Support Michigan Career Technical Institute (MCTI) Noorthoek Academy M-Tech Kent Intermediate School District Rebecca McIntyre Transition Coordinator 2012 Student Needs More Support Community Participation Disability Area Employment The Rapid Go Bus Out of School Services In School Services Network 180 (Medicaid Eligible) The Rapid Network 180 (Medicaid Eligible) Community Participation Home Living Student Needs More Support Out of School Services Summer Camps Greater Grand Rapids Association of the Deaf and Hard of Hearing (GGRADHH) Hearing Loss Association of America (HLAA) Michigan Department of Education - Low Incidence Outreach (LIO) Student Needs Less Support Recreation and Leisure The Rapid Go Bus Grand Valley State University: Disability Support Resource Center Grand Rapids Community College: Disability Support Services Michigan Career and Technical Institute Western Michigan University: Office of Disabled Student Resources and Services Michigan Rehabilitative Services (MRS) Michigan Rehabilitative Services (MRS) Student Needs Less Support The Rapid Driver's Training - Mary Freebed CPI Compass (Arbor Circle) Recreation and Leisure No Service Required Home Living Network 180 (Medicaid eligible) Student Needs More Support The Rapid Go Bus Summer Camps Mary Free bed - Eagle Sports Special Olympics Community Parks and Recreation Community Education - enrichment classes Community Participation Transition Decision Tree for Individuals with Disabilities Employment Community Participation Network 180 - Medicaid Eligible Summer Camps Community Parks and Recreation Community Education - enrichment classes Special Olympics Michigan Rehabilitative Services (MRS) Learning Independence Through Experience (LITE) Direct Job Placement Micro Enterprises Disability Advocates of Kent County Out of School Services Community Participation Independent Living The Arc Employment Michigan Rehabilitative Services (MRS) Network 180 (after 26 years of age) In School Services Post-Secondary Student Needs Less Support Home Living Community Participation Local parks and recreation - i.e. Kentwood Summer Camps Noorthoek Academy @ GRCC SOAR @ Calvin College Department of Human Services - home help after 18 College or University Disability Support Services Post-Secondary Post-Secondary HI Secondary Education Options: Grade 9 through Age 26 General Education and Special Education Kent Transition Center (KTC) Kent Career Technical Center (KCTC) Hearing Impaired Teacher Consultant Services Northview Public Schools Deaf and Hard of Hearing Program Vocational Counseling Recreation and Leisure Employment Student Needs More Support STEPS Summer in the City Employment Employment OHI Michigan Rehabilitative Services (MRS) Network 180 (Medicaid Eligible) Local Parks and Recreation summer camps Noorthoek Academy @ GRCC SOAR @ Calvin College Student Needs Less Support Camps per diagnosis ACT Living Life Dance Co. Equestrian Centers Special Olympics Michigan Rehabilitative Services (MRS) Michigan Works Student Needs More Support Secondary Education Options: Grade 9 through Age 26 Regional Transition Program Kent Vocational Options (KVO) Community Based Occupational Training (CBOT) Post-Secondary Grand Rapids Community College (GRCC) M-Tec Michigan Career Technical Institute (MCTI) Recreation and Leisure Employment PI Post-Secondary Secondary Education Options: Grade 9 through Age 26 Special Education Self Contained Classroom Kent Transition Center (KTC) Kent Career Technical Center (KCTC) Hearing Impaired Teacher Consultant Services Northview Public Schools Deaf/Hard of Hearing Program Vocational Counseling In School Services In School Services LD Secondary Education Options: Grade 9 through Age 26 Special Education Physical Therapy Occupational Therapy Speech and Language Social work Services Network 180 - Medicaid Eligible The Arc Employment: Recreation and Leisure Home Living Post-Secondary Michigan Rehabilitative Services (MRS) Bureau of Services for Blind Persons (BSBP) - if legally blind Community Parks and Recreation Community Education - enrichment classes Summer Camps Special Olympics Employment Post-Secondary Home Living Home Living Secondary Education Options: Grade 9 through Age 26 General Education and Special Education Physical Therapy Occupational Therapy Speech and Language Social work Services Kent Transition Center Kent Career Technical Center EI Independent

Decision Tree

Transcript: Advantage and Disadvantages A) Root node - the starting point of the tree, contains questions or criteria to be answered B) Branches - arrows connecting nodes, showing the flow from question to answer -Each branch represents a possible decision or occurrence. The use of branches means that each option is mutually exclusive. C) Leaf node - the other nodes that contain questions or criteria to be answered. -each node typically has two or more nodes extending from it. Parts of Decision Tree Examples of Decision Tree Decision Tree a schematic tree-shaped diagram used to determine a course of action or show a statistical probability. are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal. Parts Of a Decision Tree -Calculations can get very complex particularly if many values are uncertain. Advantages Disadvantages -Easy to understand and interpret -Allows the addition of new possible scenarios -Helps determine worst, best and expected values for different scenarios Examples of Decision Tree Decision Tree Examples of Decision Tree

Decision Tree

Transcript: What does the client want? Is the community bank also a theme park? What is the bank's unique selling proposition? Their amazing customer service? How to Win an Addy *come on, now. Let the brainstorming begin. Who's there? ADDY. Knock knock... New Client, New Campaign To change lives. This is not about money. Is the client a community bank? Sorry. No ADDY. Yes Something fresh and original. Like this. Old Client, New Campaign Their "Truly, TRULY FREE* Checking"? Their wonderful people?

Decision Tree

Transcript: President Figueres faces a dilemma is important too How will the teachers' strike come to an end? President Figueres should negotiate without preconditions

Decision Tree

Transcript: Case For Christ Let's Make a Decision! Jesus never existed! Jesus is God! Jesus did exist. There's historical evidence that shows Jesus was a real person. But Jesus was just a great moral teacher, he never claimed to be God. Jesus did claim to be God. The Bible says so. Who cares what the Bible says? It's full of contradictions. The Bible is amazingly internally consistent. So called contradictions in the Bible can be resolved if you look and think carefully. Unlike other sacred texts, the Bible's contents are supported by external sources - secular historians How do we know it's accurate? Ok, but how do we know the Bible is historically accurate? The Bible contains no fiction, since it was written and circulated so soon after Jesus' earthly ministry Fiction or Non-fiction? But how do we know there's nothing fictitious in the Bible that can't be proven or disproven by historians? The Bible's record of accurate preservation blows away any other text Was it preserved? But how do we know the Bible written then has been accurately preserved till today? Ok fine, Jesus was real, and He claimed to be God, because the Bible says so and the Bible is reliable. However, that doesn't mean Jesus really is God. Jesus claim was true Was he God? Jesus claimed to be God He knew his claim was false Liar? His claim was false He was deluded He was a lunatic He was crazy! He didn't know it was false? He was a liar He was a hypocrite He was evil He was a fool, since he died for it He knew it was false FALSE You can either choose to accept this or reject it. He is Lord Therefore He is Lord!

Decision tree

Transcript: blue curve turn animations on to turn on music green line shape determines sound Sound determines colourscheme Colour determines mood zigzag green sun rises red dot morphs into a bird and flies Scene turns into nature black What colour are you? Little black dot red green white Presently 3 potential ends? 1. Night-time scene 2. Sun rises 3. Dot morphs into bird and flies over nature scene blue red black dot gets rolled over a large fat circle and squished until flat night-time scene love, passion, anger, heat, fire, and blood colour determines mood... begin simply dot starts dancing to bouncy music flashing colours orange white dot gets pulled and expanded until covering the screen

Decision Tree

Transcript: Workshop Enrollment Day to Day desktop responsibilities Leaf Decisions Just make it! Double click anywhere & add an idea Advise a Customer DECISION TREE Pay Bill

Decision Tree

Transcript: Poisson Model Categorical var. Continuous var. Does it violate the POA? If so use multinominal logit 3rd Choice Negative Binominal Check for linearity, normality, heteroskedaticity, multicolliniarity. Considere one of the following 3 and if interaction terms is relevant Panel Data Random vs. Fixed Effects Count var. When we expect a non-linear relationship btw. dep.var. and ind.var. Multinominal Logit (no natural order) or Ordered Logit (Natural order) Endogeneity 2nd Choice Non-linear regression Test for serial correlation. If yes (severe)=Use 1st D. If no=Use FE. (If serial corr. is not severe, may report both FE & 1stD. If there is selection bias, we should use a Heckman Selection Model to account for this Look at the data: Panel data, use PD approach). Cross-sectional, use these. Then look at characteristics of dependent variable If over-dispertion Check for excess zeros - if there are, used zero-inflation model Dummy Variable (0;1 variables) OLS If unsure of Multinom. vs. Ordered: Do POA to test. Logit - remember to look at interactions Fixed Effects vs. 1st Difference Selection Bias Ordered Logit Does it violate the IIA? If so: Nested Logit Mixed Logit Multinom. probit Pooled OLS? Test with the Hausman. h0=Use Random Effects Accept= Use RE Reject= 3rd choice Multinominal Logit 1st Choice If we suspect endogeneity we should use instrumental variable regression. If no over-dispertion Is a simpler model, so should be first choice Check for excess zeros - if there are, used zero-inflation model Use Breuch-Pagan test to see if biased: No - use OLS Yes - 2nd choice Discrete (More than 2 levels)

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