OnTRACK Algebra I: Properties and Attributes of Functions

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OnTRACK Algebra I: Properties and Attributes of Functions

  • Subject(s): Math
  • Grade range: 9-12
  • Release date: 08-22-2015
  • Tags: linear, parent functions, quadratic, domain and range, continuous and discrete, graph description, verbal description, graphs, math process, mathematical relationships, scatterplot, trend, correlation, line of best fit, outlier, tables, predictions, word problems, Making Predictions and Critical Judgments, linear function, Linear Functions

Description

Students will learn how to use the properties and attributes of functions.

Standards

A(3)(C), A(7)(A), A(2)(A), A(6)(A), A(1)(E), A(1)(F), A(4)(A), A(2)(C), A(4)(B), A(4)(C)

Resources

Resource ID: A1M2L1 Grade Range: 9-12 By: Texas Education Agency Subject: Math
Given a graph or verbal description of a function, the student will determine the parent function.
Resource ID: A1M2L2 Grade Range: 9-12 By: IPSI Developer Subject: Math
Given a graph and/or verbal description of a situation (both continuous and discrete), the student will identify mathematical domains and ranges and determine reasonable domain and range values for the given situations.
Resource ID: A1M2L3 Grade Range: 9-12 By: Texas Education Agency Subject: Math
Given a graph, the student will analyze, interpret, and communcate the mathematical relationship represented and its characteristics.
Resource ID: A1M2L4 Grade Range: 9-12 By: IPSI Developer Subject: Math
Given scatterplots that represent problem situations, the student will determine if the data has strong vs weak correlation as well as positive, negative, or no correlation.  
Resource ID: A1M2L5 Grade Range: 9-12 By: Texas Education Agency Subject: Math
Given verbal descriptions and tables that represent problem situations, the student will make predictions for real-world problems.
Resource ID: A1M2L6 Grade Range: 9-12 By: Texas Education Agency Subject: Math
Given an experimental situation, the student will write linear functions that provide a reasonable fit to data to estimate the solutions and make predictions.