Download Algebra 2 List of Topics - Red Hook Central Schools

Algebra 2
There are 4 modules: Polynomial, Rational, and Radical Relationships
Functions
Trigonometric Functions
Inferences and Conclusions from Data
Polynomial, Rational, and Radical Relationships
 Polynomial identities
 Polynomial multiplication and division
 Review all factoring techniques and extend beyond quadratic functions
 Derive the quadratic formula
 Solve linear systems in three variables and demonstrate real-life application
 Add, subtract, multiply & divide rational expressions including real-life applications
 Analyze all key features of polynomial function graphs
 Transform polynomial function graphs
 Explore the definition of a parabola
 Complex numbers: add, subtract, multiply.
 Solve polynomial functions algebraically and graphically with real and non-real solutions
Functions
 Radical functions graphically and algebraically
• Exponential functions graphically, algebraically and real life applications
 Logarithmic functions graphically, algebraically and real life applications
 Transformations of the graphs of these functions
 Inverse functions
 Identify types of functions to model a situation
 Arithmetic sequences and series
 Geometric sequences, series, and exponential decay/growth
Trigonometric Functions
 Sine and cosine as functions for degree of rotation
 Special right triangles and trigonometric functions
 Co-terminal angles
 Reference angles
 Tangent, secant, and cosecant functions
 Reciprocal functions
 Analyze trigonometric graphs and all key features
 Conversion between degrees and radians
 Trigonometric graphs modeling cyclical real life situations
 Trigonometric identities
Inferences and Conclusions from Data
 Sample space, chance, two or more events
 Conditional probability
 Venn diagrams
 Probability rules
 Data Distributions: center, shape, dispersion
 Modeling the normal curve
 Z-scores
 Types of statistical studies
 Estimating a population characteristic
 Sampling variability
 Standard deviation
 Margin of error
 Sampling variability in the mean
 Estimation of the population mean and margin of error
 Drawing conclusions from a sample
 Experiments
 Random assigned differences
 Ruling out chance
 Evaluating experiments