<p> Advanced Mathematical Decision Making Curriculum Map 2011-2012 School Year Georgia Performance Standards</p><p>1st Semester 2nd Semester</p><p>Unit 1 Unit 2 Unit 3 Unit 4 Unit 5 Unit 6 Unit 7</p><p>Analyzing Probability Statistical Using Using Decision Networks Numerical Studies Recursion in Functions in Making in and Data Models and Models and Finance Graphs Decision Decision Making Making 5 Weeks 6 Weeks 7 Weeks 4 Weeks 5 Weeks 5 Weeks 4 weeks MAMDMN1a,b,c, MAMDMD1a,b, MAMDMD2 MAMDMD4 MAMDDMD4 MAMDMA3a,b MAMDMA2 d c MAMDMD3 MAMDMG2 a,b,c,d MAMDMG1 Key Vocabulary Unit 1 Unit 2 Unit 3 Unit 4 Unit 5 Unit 6 Unit 7 Analyzing Probability Statistical Studies Using Recursion Using Functions Decision Networks and Numerical Data in Models and in Models and Making in Graphs Decision Making Decision Finance Making  Aspect ratio  Area model  Alternative  Arithmetic  Difference  After-tax  Circuit  Letterbox  Complement hypothesis sequence equation income  Edge  Pillarbox of a set  Blind study  Bivariate data  Domain  Benefits  Euler  Index (indices)  Compound  Control group  Cause and effect  Exponential  Certificat Circuit  Paradox events  Data collection  Explicit function decay e of deposit  Graph  Weighted  Conditional  Double-blind  Form  Exponential  Compou  Hamilton average probability study  Direction function nd interest ian circuit  Weighted sum  Dependent  Experimental  Relative strength  Finite difference  Exponent  Path  Check digit events study  Iterative process  Function rule ial function  Vertex  Identification  Equally likely  Fact/opinion  Linear function  Geometric  Future  Connecti number  Independent  Null hypothesis  Recursion sequence value vity  Single-digit error events  Observational  Recursive routine  Geometric  Gross  Efficient  Transposition  Probability study  Recursive rule series income network error  Sample space  Participant  Common ratio  Linear functions  Income  Minimal  Tree diagram  Placebo  Exponential  Logistic growth  Income spanning tree  Venn diagram  Placebo effect decay  Range tax  Minimall  Conditional  Population  Exponential  Amplitude  Inflation y connected probability  Population man function  Cyclical model  Interest  Spanning  Intersection  Population  Finite difference  Frequency  Investme tree  Union parameter  Function rule  Parameter nt  Tree  Weighted  Psychological  Geometric  Period  Present  Weight  Binomial effect sequence  Regression value  Weighted probability  Research question  Ambient model  Risk graph  Expected  Sample temperature  Scatter plot  Salary  Adjacenc value  Sample mean  Constant of  Sinusoidal  Savings y  Paschal’s  Sample statistic proportionality function account  Chromati Triangle  Statistical  Difference  Constant  Simple c number  significance equation Function interest  Planar  Study limitation  Domain  Continuous  Checking  Sameness  Treatment  Exponential  Decreasing account  Ethics decay  Dependency  Deposit  Informed consent  Exponential Statement  Money  Pilot study function  Piecewise market  Primary data  Logistic growth Function  Principal  Questionnaire  Radioactive  Step Function  Quarterly  Secondary data decay  Retireme  Average  Amplitude nt  Margin of error  Central angle  Time  Census  Cosine value of  Cluster sampling  Period money</p>