• Resource ID: OS_OER_Stat1
    • Grade Range: N/A
    • Subject: Math

    TEA Statistics PowerPoint Slides

    Instructor PowerPoint slides for TEA High School Statistics open-source instructional material.

    • Resource ID: A2M1L3
    • Grade Range: 9–12
    • Subject: Math

    OnTrack logo Domain and Range: Function Notation

    Given a function in function notation form, identify the domain and range using set notation, interval notation, or a verbal description as appropriate.

    • Resource ID: A2M1L2
    • Grade Range: 9–12
    • Subject: Math

    OnTrack logo Domain and Range: Graphs

    Given a function in graph form, identify the domain and range using set notation, interval notation, or a verbal description as appropriate.

    • Resource ID: A2M1L5
    • Grade Range: 9–12
    • Subject: Math

    OnTrack logo Domain and Range: Contextual Situations

    The student will be able to identify and determine reasonable values for the domain and range from any given contextual situation.

    • Resource ID: A2M3L8
    • Grade Range: 9–12
    • Subject: Math

    OnTrack logo Functions and their Inverses

    Given a functional relationship in a variety of representations (table, graph, mapping diagram, equation, or verbal form), the student will determine the inverse of the function.

    • Resource ID: A2M1L1
    • Grade Range: 9–12
    • Subject: Math

    OnTrack logo Domain and Range: Numerical Representations

    Given a function in the form of a table, mapping diagram, and/or set of ordered pairs, the student will identify the domain and range using set notation, interval notation, or a verbal description as appropriate.

    • Resource ID: TXLS198
    • Grade Range: 10
    • Subject: Math

    Square Root Regression

    This lesson is a student discovery lesson that culminates in square root regression with technology. Students will use their study of inverses, the relationship between quadratic and square root functions, their previous knowledge of regression, and determine how to find the square root regression of real-world data.