Michigan State University

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.

BS Math Education

Michigan State University

MA Curriculum and Instruction

Michigan State University

Functions

Trigonometry

Equations and Inequalities

Introduction to Trigonometry

Quadratic Functions

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

Quadratic Equations

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

Properties of Quadrilaterals

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