### Chris R.

Junior**Q Specialties**:

**Primary:**Math, Statistics

**Secondary:**Statistics

**Major(s)**: Accounting (BUSN)

### Topics by Course

##### MATH1011Q - Introductory College Algebra and Mathematical Modeling

Absolute Value

Algebraic Concepts

Exponential Functions

Logarithmic Functions

Mathematical Models of Lines

Polynomials

Rational Functions

Systems of Equations

##### MATH1060Q - Precalculus

Absolute Value Functions

Algebra Review (fractions, factoring, simplification, etc.)

Applications of Trigonometry (Periodic Motion)

Applications of Trigonometry (Triangles)

Basic Trig Functions

Exponential Functions

Exponential Growth and Decay

Function Composition

Functions

Graphs of Trigonometric Functions

Introduction to Periodic Motion

Inverse Functions

Inverse Trig Equations

Linear Functions

Lines and Planes

Logarithmic Functions

Modeling With Functions

Polynomial Long Division

Polynomials

Quadratic Functions

Rational Functions

Solving Trig Equations

Square Root Functions

The Unit Circle

Trigonometric Identities

Trigonometry

##### MATH1070Q - Mathematics for Business and Economics

Algebra

Basic Linear Systems and Matrices

Basic Probability Theory

Combinatorics

Exponential and Logarithmic Functions

Financial Mathematics

Linear Programming

Optimization

##### MATH1131Q - Calculus I

Antiderivatives

Calculating Limits with Limit Laws

Chain Rule

Concavity

Continuity

Derivative as a Function

Derivatives

Derivatives of Logarithmic Functions

Derivatives of Polynomial and Exponential Functions

Derivatives of Trig Functions

Exponential Functions

Exponential Growth and Decay

Fundamental Theorem of Calculus

Horizontal Asymptotes

How Derivatives Affect the Shape of a Graph

Implicit Differentiation

Indefinite Integrals

Indeterminate Forms

Inverse Functions

L'Hopital's Rule

Limit of a Function

Limits at Infinity

Linear Approximations and Differentials

Logarithmic Functions

Mathematical Models

Minimum/Maximum Problems

Net Change Theorem

New Functions from Old Functions

Optimization

Points of Inflection

Precise Definition of a Limit

Rates of Change

Related Rates

Representing Functions

Riemann Sums

Substitution Rule

Tangent and Velocity Problems

The Definite Integral

##### MATH1132Q - Calculus II

Absolute Convergence

Alternating Series

Application of Calculus to Physics and Engineering

Applications of Taylor Polynomials

Approximate Integration

Arc Length

Area Between Curves

Area in Polar Coordinates

Calculus with Parametric Curves

Comparison Test

Curves Defined By Parametric Equations

Direction Fields

Improper Integrals

Integral Test

Integration By Parts

Modeling with Differential Equations

Partial Fractions

Polar Coordinates

Power Series

Probability

Ratio Test

Representing Functions as Power Series

Riemann Sums

Separable Equations

Sequences

Series

Taylor/Maclaurin Series

Volumes (Integration)

Work (Integration)

##### STAT1000Q - Introduction to Statistics I

Binomial Random Variables

Confidence Intervals

Correlation and Regression

Diagrams (Pie Chart, Stem and Leaf Plot, Histogram)

Finding Sample Size

Hypothesis Testing

Normal Random Variables

Quartiles, Empirical Rule and Chebyshev's Inequality

Sampling Distribution and Central Limit Theorem

Uniform Random Variables

##### STAT1100Q - Elementary Concepts of Statistics

Binomial Random Variables

Confidence Intervals

Correlation and Regression

Diagrams (Pie Chart, Stem and Leaf Plot, Histogram)

Finding Sample Size

Hypothesis Testing

Normal Random Variables

One- and Two-Sample Procedures

Quartiles, Empirical Rule and Chebyshev's Inequality

Sampling Distribution and Central Limit Theorem

Uniform Random Variables

##### STAT2215Q - Introduction to Statistics II

Analysis of Variance

Binomial Random Variables

Chi-Square Test

Confidence Intervals

Correlation and Regression

Diagrams (Pie Chart, Stem and Leaf Plot, Histogram)

Finding Sample Size

Hypothesis Testing

Multiple Regression

Non-Parametric Procedures

Normal Random Variables

Quartiles, Empirical Rule and Chebyshev's Inequality

Sampling Distribution and Central Limit Theorem

Uniform Random Variables