Interpreting Functions 3. Recognize that sequences are functions, 11.2 Arithmetic Sequences sometimes defined recursively, whose Understand the concept of a function and use 11.5 Recursion and Iteration domain is a subset of the integers. function notation. Textbook Resources Pearson TN Task Arc () –Honeybees 9.3 Geometric Sequences See Section 9-2 Glencoe 11.1 Sequences as Functions 11.3 Geometric Sequences 11.5 Recursion and Iteration Seeing Structure in Expressions 4. Derive the formula for the sum of a Pearson TN Task Arc-Patterns in Patterns () finite geometric series (when the common Write expressions in equivalent forms to solve 9.5 (Finite)Geometric Series ratio is not 1), and use the formula to problems. solve problems. Glencoe 11.3 Geometric Series Chapter 11 (Allow 6 days for instruction, review, and assessment) 2. Decide if a specified model is consistent Making Inferences & Justifying Pearson with results from a given data-generating Conclusions 11.2 Probability Simulation – process, e.g., using simulation. Understand and evaluate random processes underlying statistical experiments.
Interpreting Functions Understand the concept of a function and use function notation. 3. Recognize that sequences are functions, sometimes defined recursively, whose domain is a subset of the integers. 11.2 Arithmetic Sequences 11.5 Recursion and Iteration Textbook Resources See Section 9-2 Pearson 9.3 Geometric Sequences Glencoe 11.1 Sequences as Functions 11.3 Geometric Sequences 11.5 Recursion and Iteration TN Task Arc –Honeybees () Seeing Structure in Expressions Write expressions in equivalent forms to solve problems. 4. Derive the formula for the sum of a finite geometric series (when the common ratio is not 1), and use the formula to solve problems. Pearson 9.5 (Finite)Geometric Series Glencoe 11.3 Geometric Series TN Task Arc-Patterns in Patterns () Chapter 11 (Allow 6 days for instruction, review, and assessment) Making Inferences & Justifying Conclusions Understand and evaluate random processes underlying statistical experiments. 2. Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. Pearson 11.2 Probability – Simulation
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