VA--Standards of Learning

AF.AFDA.1.a: domain and range;

Exponential Functions

Logarithmic Functions

AF.AFDA.1.c: absolute maxima and minima;

Quadratics in Factored Form

Quadratics in Vertex Form

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AF.AFDA.1.d: zeros;

Cat and Mouse (Modeling with Linear Systems)

Exponential Functions

Graphs of Polynomial Functions

Introduction to Exponential Functions

Linear Functions

Logarithmic Functions

Modeling the Factorization of *x*^{2}+*bx*+*c*

Points, Lines, and Equations

Polynomials and Linear Factors

Quadratics in Factored Form

Quadratics in Polynomial Form

Quadratics in Vertex Form

Roots of a Quadratic

Slope-Intercept Form of a Line

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AF.AFDA.1.e: intercepts;

Cat and Mouse (Modeling with Linear Systems)

Exponential Functions

Graphs of Polynomial Functions

Introduction to Exponential Functions

Linear Functions

Logarithmic Functions

Logarithmic Functions: Translating and Scaling

Points, Lines, and Equations

Polynomials and Linear Factors

Quadratics in Factored Form

Quadratics in Polynomial Form

Quadratics in Vertex Form

Roots of a Quadratic

Slope-Intercept Form of a Line

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AF.AFDA.1.f: values of a function for elements in its domain;

Exponential Functions

Logarithmic Functions

AF.AFDA.1.g: connections between and among multiple representations of functions using verbal descriptions, tables, equations, and graphs;

AF.AFDA.1.h: end behavior; and

Exponential Functions

Graphs of Polynomial Functions

Logarithmic Functions: Translating and Scaling

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AF.AFDA.1.i: vertical and horizontal asymptotes.

Exponential Functions

Graphs of Polynomial Functions

Introduction to Exponential Functions

Logarithmic Functions

Absolute Value with Linear Functions

Exponential Functions

Introduction to Exponential Functions

Logarithmic Functions: Translating and Scaling

Quadratics in Vertex Form

Translating and Scaling Functions

Translations

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DA.AFDA.6.a: conditional probability;

Independent and Dependent Events

DA.AFDA.6.b: dependent and independent events;

Binomial Probabilities

Independent and Dependent Events

DA.AFDA.6.d: counting techniques (permutations and combinations); and

Binomial Probabilities

Permutations and Combinations

DA.AFDA.6.e: Law of Large Numbers.

Theoretical and Experimental Probability

DA.AFDA.7.a: identify and describe properties of a normal distribution;

Polling: City

Populations and Samples

Real-Time Histogram

Sight vs. Sound Reactions

DA.AFDA.7.c: apply properties of normal distributions to determine probabilities associated with areas under the standard normal curve.

DA.AFDA.8.a: sample size;

Polling: City

Polling: Neighborhood

DA.AFDA.8.b: sampling technique;

DA.AFDA.8.c: controlling sources of bias and experimental error;

Polling: City

Polling: Neighborhood

DA.AFDA.8.d: data collection; and

Describing Data Using Statistics

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DA.AFDA.8.e: data analysis and reporting.

Polling: City

Real-Time Histogram

Correlation last revised: 9/16/2020

This correlation lists the recommended Gizmos for this state's curriculum standards. Click any Gizmo title below for more information.