💬 👋 We’re always here. Join our Discord to connect with other students 24/7, any time, night or day.Join Here! # Sheryl E.

Michigan State University

## Biography

I graduated with a BS from Michigan State University in 1983 with High Honors (4.0) with a major in Mathematics Educations and a minor in Physical Science. I earned my MA from Michigan State University in Curriculum and Instructions in 1986. I taught mathematics at DeWitt High School in DeWitt MI for 36 years. I taught every level of math during those years: Basic Math, Algebra I, Geometry, Algebra 2, Trigonometry, Functions & Statistics, Precalculus, AP Statistics and AP Calculus AB. I retired from teaching in June 2020.

## Education

BS Math Education
Michigan State University
MA Curriculum and Instruction
Michigan State University

## Topics Covered

Functions
Trigonometry
Equations and Inequalities
Introduction to Trigonometry
Systems of Equations and Inequalities
Introduction to Conic Section
Algebra and Trigonometry
Descriptive Statistics
Probability Topics
Sampling and Data
Confidence Intervals
Derivatives
Differentiation
Functions
Series
Introduction to Sequences and Series
The Normal Distribution
Introduction to Combinatorics and Probability
An Introduction to Geometry
The Language of Algebra
Rational Functions
Introduction to Conic Sections
Differential Equations
Introduction to Sequences and Series
Right Triangles
Circles
Applications of Trigonometric Functions
Graphing Trigonometry Functions
Linear Regression and Correlation
Probability and Counting Rules
The Nature of Probability and Statistics
Confidence Intervals and Sample Size
Correlation and Regression
Hypothesis Testing with One Sample
Exponential and Logarithmic Functions
Exponents and Polynomials
Linear Functions
Complex Numbers
Linear Equations and Functions
Linear Equations and Inequalities
Polynomials
Introduction to Matrices
Percent
Ratio, Proportion, and Measurement
Introduction to Algebra
Polar Coordinates
Solve Linear Inequalities
Graph Linear Functions
Vectors
Algebra Topics That are Reviewed at the Start of the Semester
Introduction to Combinatorics and Probability
Introduction to Vectors
Parametric Equations
Graphs and Statistics
Geometry Basics
Matrices
Congruent Triangles
Hypothesis Testing with Two Samples
The Central limit Theorem
Sampling and Simulation
Integration Techniques
Partial Derivatives
Functions of Several Variables
Area and Perimeter
Parallel and Perpendicular lines
Limits
Fractions and Mixed Numbers
The Integers
Vector Functions
Probability
inverse functions
Integrals
Integration
Applications of Integration
Polygons
Relationships Within Triangles
Geometric Proof
Similarity
Surface Area
Volume
Transformations
Logic
Systems and Matrices
Discrete Random Variables
Continuous Random Variables
Sequences and Series
Algebra
Sequences
The Chi-Square Distribution
Discrete Probability Distributions
The Normal Distribution
Applications of the Derivative
Experiment
Hypothesis Testing
Vector Calculus
Multivariable Optimization
CHI-SQUARE TESTS AND THE F-DISTRIBUTION
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