WV--College- and Career-Readiness Standards
BR.M.4HSTP.1: Find the conjugate of a complex number; use conjugates to find moduli (magnitude) and quotients of complex numbers.
BR.M.4HSTP.2: Represent complex numbers on the complex plane in rectangular and polar form (including real and imaginary numbers), and explain why the rectangular and polar forms of a given complex number represent the same number.
BR.M.4HSTP.3: Represent addition, subtraction, multiplication and conjugation of complex numbers geometrically on the complex plane; use properties of this representation for computation. (e.g., (–1 + √3 i)³ = 8 because (–1 + √ 3 i) has modulus 2 and argument 120°.
BR.M.4HSTP.5: Recognize vector quantities as having both magnitude and direction. Represent vector quantities by directed line segments and use appropriate symbols for vectors and their magnitudes (e.g., v, |v|, ||v||, v).
BR.M.4HSTP.6: Find the components of a vector by subtracting the coordinates of an initial point from the coordinates of a terminal point.
BR.M.4HSTP.7: Solve problems involving velocity and other quantities that can be represented by vectors.
BR.M.4HSTP.8: Add and subtract vectors.
BR.M.4HSTP.8.a: Add vectors end-to-end, component-wise, and by the parallelogram rule. Understand that the magnitude of a sum of two vectors is typically not the sum of the magnitudes.
BR.M.4HSTP.8.b: Given two vectors in magnitude and direction form, determine the magnitude and direction of their sum.
BR.M.4HSTP.8.c: Understand vector subtraction v – w as v + (–w), where –w is the additive inverse of w, with the same magnitude as w and pointing in the opposite direction. Represent vector subtraction graphically by connecting the tips in the appropriate order and perform vector subtraction component-wise.
BR.M.4HSTP.12: Add, subtract and multiply matrices of appropriate dimensions.
BR.M.4HSTP.16: Work with 2 × 2 matrices as transformations of the plane and interpret the absolute value of the determinant in terms of area.
BR.M.4HSTP.17: Represent a system of linear equations as a single matrix equation in a vector variable.
ASF.M.4HSTP.19: Graph functions expressed symbolically and show key features of the graph, by hand in simple cases and using technology for more complicated cases. Graph rational functions, identifying zeros and asymptotes when suitable factorizations are available, and showing end behavior.
ASF.M.4HSTP.20: Write a function that describes a relationship between two quantities, including composition of functions.
ASF.M.4HSTP.21: Find inverse functions.
ASF.M.4HSTP.21.a: Verify by composition that one function is the inverse of another.
ASF.M.4HSTP.21.b: Read values of an inverse function from a graph or a table, given that the function has an inverse.
ASF.M.4HSTP.22: Understand the inverse relationship between exponents and logarithms and use this relationship to solve problems involving logarithms and exponents.
TIF.M.4HSTP.23: Use special triangles to determine geometrically the values of sine, cosine, tangent for π/3, π/4 and π/6, and use the unit circle to express the values of sine, cosine, and tangent for π–x, π+x, and 2π–x in terms of their values for x, where x is any real number.
TIF.M.4HSTP.28: Prove the addition and subtraction formulas for sine, cosine, and tangent and use them to solve problems.
TIF.M.4HSTP.29: Graph trigonometric functions showing key features, including phase shift.
DAG.M.4HSTP.30: Derive the equations of ellipses and hyperbolas given the foci, using the fact that the sum or difference of distances from the foci is constant.
MP.M.4HSTP.34: Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value. (e.g., Find the theoretical probability distribution for the number of correct answers obtained by guessing on all five questions of a multiple-choice test where each question has four choices, and find the expected grade under various grading schemes.)
MP.M.4HSTP.35: Develop a probability distribution for a random variable defined for a sample space in which probabilities are assigned empirically; find the expected value.
Correlation last revised: 4/4/2018