Engage NY Curriculum Modules

AII.1.A: Polynomials—From Base Ten to Base X

Dividing Polynomials Using Synthetic Division

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

Polynomials and Linear Factors

AII.1.B: Factoring—Its Use and Its Obstacles

Dividing Polynomials Using Synthetic Division

Factoring Special Products

AII.1.C: Solving and Applying Equations—Polynomial, Rational, and Radical

Operations with Radical Expressions

Radical Functions

AII.2.A: The Story of Trigonometry and Its Contexts

Circles

Simplifying Trigonometric Expressions

Sine, Cosine, and Tangent Ratios

Sum and Difference Identities for Sine and Cosine

AII.2.B: Understanding Trigonometric Functions and Putting them to Use

Simplifying Trigonometric Expressions

Sine, Cosine, and Tangent Ratios

Sum and Difference Identities for Sine and Cosine

AII.3.A: Real Numbers

Dividing Exponential Expressions

Exponents and Power Rules

Introduction to Exponential Functions

Multiplying Exponential Expressions

Simple and Compound Interest

Unit Conversions

Unit Conversions 2 - Scientific Notation and Significant Digits

AII.3.B: Logarithms

AII.3.C: Exponential and Logarithmic Functions and their Graphs

Addition and Subtraction of Functions

Dividing Exponential Expressions

Exponential Functions

Exponents and Power Rules

Linear Functions

Multiplying Exponential Expressions

AII.3.D: Using Logarithms in Modeling Situations

Absolute Value with Linear Functions

Cat and Mouse (Modeling with Linear Systems)

Exponential Functions

Geometric Sequences

Introduction to Exponential Functions

Point-Slope Form of a Line

Rational Functions

Simple and Compound Interest

Solving Equations by Graphing Each Side

Solving Linear Systems (Matrices and Special Solutions)

Solving Linear Systems (Slope-Intercept Form)

Standard Form of a Line

Translations

AII.4.A: Probability

Binomial Probabilities

Estimating Population Size

Geometric Probability

Independent and Dependent Events

Probability Simulations

Theoretical and Experimental Probability

AII.4.B: Modeling Data Distributions

Box-and-Whisker Plots

Describing Data Using Statistics

Estimating Population Size

Least-Squares Best Fit Lines

Mean, Median, and Mode

Polling: City

Populations and Samples

Probability Simulations

Reaction Time 1 (Graphs and Statistics)

Real-Time Histogram

Sight vs. Sound Reactions

Solving Using Trend Lines

Stem-and-Leaf Plots

Theoretical and Experimental Probability

Trends in Scatter Plots

AII.4.C: Drawing Conclusions Using Data from a Sample

Correlation

Polling: City

Polling: Neighborhood

Populations and Samples

Reaction Time 1 (Graphs and Statistics)

AII.4.D: Drawing Conclusions Using Data from an Experiment

Describing Data Using Statistics

Geometric Probability

Independent and Dependent Events

Mean, Median, and Mode

Polling: City

Polling: Neighborhood

Populations and Samples

Probability Simulations

Real-Time Histogram

Sight vs. Sound Reactions

Stem-and-Leaf Plots

Theoretical and Experimental Probability

Correlation last revised: 8/17/2016

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