Standard Course of Study
NC.M4.N.1.1: Execute procedures to add and subtract complex numbers.
NC.M4.N.1.2: Execute procedures to multiply complex numbers.
NC.M4.N.2.1: Execute procedures of addition, subtraction, multiplication, and scalar multiplication on matrices.
NC.M4.N.2.2: Execute procedures of addition, subtraction, and scalar multiplication on vectors.
NC.M4.AF.2.1: Translate trigonometric expressions using the reciprocal and Pythagorean identities.
Simplifying Trigonometric Expressions
NC.M4.AF.2.3: Interpret key features (amplitude, period, phase shift, vertical shifts, midline, domain, range) of models using sine and cosine functions in terms of a context.
Translating and Scaling Sine and Cosine Functions
NC.M4.AF.3.3: Interpret key features of a logarithmic function using multiple representations.
Distance-Time Graphs - Metric
Logarithmic Functions
NC.M4.AF.4.2: Construct piecewise functions to model a contextual situation.
Distance-Time Graphs
Distance-Time Graphs - Metric
Distance-Time and Velocity-Time Graphs
Distance-Time and Velocity-Time Graphs - Metric
NC.M4.AF.5.1: Construct regression models of linear, quadratic, exponential, logarithmic, & sinusoidal functions of bivariate data using technology to model data and solve problems.
Correlation
Least-Squares Best Fit Lines
Solving Using Trend Lines
Trends in Scatter Plots
NC.M4.AF.5.2: Compare residuals and residual plots of non-linear models to assess the goodness-of-fit of the model.
NC.M4.SP.1.1: Construct statistical questions to guide explorations of data in context.
Real-Time Histogram
Sight vs. Sound Reactions
Time Estimation
NC.M4.SP.1.2: Design sample surveys and comparative experiments using sampling methods to collect and analyze data to answer a statistical question.
Box-and-Whisker Plots
Estimating Population Size
Histograms
Sight vs. Sound Reactions
Time Estimation
NC.M4.SP.2.1: Design a simulation to make a sampling distribution that can be used in making informal statistical inferences.
NC.M4.SP.3.1: Implement discrete probability distributions to model random phenomenon and make decisions (e.g., expected value of playing a game, etc.).
NC.M4.SP.3.2: Implement the binomial distribution to model situations and make decisions.
Correlation last revised: 4/1/2022