In all MATH 1111 College Algebra, MATH 1112 Trigonometry, MATH 1113 Precalculus, and MATH 2112 Probability and Statistics courses taught at CCGA, we use OpenStax College free-to-use textbooks. For MATH 1111, 1112, and 1113, we use Algebra and Trigonometry and for MATH 2112, we use Introductory Statistics. What follows are links to websites and videos for various concepts in those courses, organized by the textbook sections. Click the course names below to navigate directly to the links associated with that course.

This page will be continually updated with new links. If you find additional resources that you think should be listed here, or if you find any links that should be updated, please contact Dr. Laura Lynch.


MATH 1111: College Algebra/

MATH 1113: Precalculus

Chapter 1: Prerequisites

1.1 Real Numbers: Algebra Essentials

1.2 Exponents and Scientific Notation

1.3 Radicals and Rational Expressions

1.4 Polynomials

1.5 Factoring Polynomials


Chapter 2: Equations and Inequalities

2.1 The Rectangular Coordinate Systems and Graphs

2.2 Linear Equations in One Variable

2.3 Models and Applications

2.4 Complex Numbers

2.5 Quadratic Equations

2.6 Other Types of Equations

2.7 Linear Inequalities and Absolute Value Inequalities

11.1 Systems of Linear Equations: Two Variables

11.3 Systems of Nonlinear Equations and Inequalities: Two Variables


Chapter 3: Functions

3.1 Functions and Function Notation

3.2 Domain and Range

3.3 Rates of Change and Behavior of Graphs

3.4 Composition of Functions

3.5 Transformation of Functions

3.6 Absolute Value Functions

3.7 Inverse Functions


Chapter 4: Linear Functions

4.1 Linear Functions

4.2 Modeling with Linear Functions

4.3 Fitting Linear Models to Data


Chapter 5: Polynomial and Rational Functions

5.1 Quadratic Functions

5.2 Power Functions and Polynomial Functions

5.3 Graphs of Polynomial Functions

5.4 Dividing Polynomials

5.5 Zeros of Polynomial Functions

5.6 Rational Functions

5.7 Inverses and Radical Functions

  • Find the inverse of a polynomial function (linear, quadratic)
  • Restrict the domain to find the inverse of a polynomial function

5.8 Modeling Using Variation


Chapter 6: Exponential and Logarithmic Functions

6.1 Exponential Functions

6.2 Graphs of Exponential Functions

6.3 Logarithmic Functions

6.4 Graphs of Logarithmic Functions

6.5 Logarithmic Properties

6.6 Exponential and Logarithmic Equations

6.7 Exponential and Logarithmic Models

6.8 Fitting Exponential Models to Data



MATH 1112: Trigonometry/MATH 1113: Precalculus

Chapter 7: The Unit Circle: Sine and Cosine Functions

7.1 Angles

7.2 Right Triangle Trigonometry

7.3 Unit Circle

7.4 The Other Trigonometric Functions


Chapter 8: Periodic Functions

8.1 Graphs of the Sine and Cosine Functions

8.2 Graphs of the Other Trigonometric Functions

8.3 Inverse Trigonometric Functions


Chapter 9

9.1 Solving trigonometric equations with identities

9.2 Sum and difference identities

9.3 Double-angle, half-angle, and reduction formulas

9.4 Sum-to-product and product-to-sum identities

9.5 Solving trigonometric equations


Chapter 10

10.1 Non-right triangles: Law of Sines

10.2 Non-right triangles: Law of Cosines

10.3 Polar Coordinates

10.5 Polar Form of Complex Numbers

10.8 Vectors



MATH 2112: Probability and Statistics

Chapter 1: Sampling Data (Week 1)

1.1 Definitions of Statistics, Probability and Key Terms

1.2 DATA, SAMPLING, AND VARIATION IN DATA SAMPLING

1.3 Frequency, Frequency Tables, and Levels of Measurement

1.4 Experimental Design and Ethics


Chapter 2: Descriptive Statistics (Week 2)

2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs and Bar Graphs

2.2 Histograms, Frequency Polygons, and Time Series Graphs

2.3 Measures of the Location of the Data

2.4 Box Plots

2.5 Measures of the Center of the Data

2.6 Skewness and the Mean, MEdian, and Mode

2.7 Measures of the Spread of the Data


Chapter 3: Probability Topics (Week 4)

3.1 Terminology

3.2 Independent and Mutually Exclusive Events

3.3 Two Basic Rules of Probability

3.4 Contingency Tables

3.5 Tree and Venn Diagrams



Chapter 4: Discrete Random Variables (Week 6)

4.1 Probability Distributions Function (PDF) for a discrete Random variable

4.2 Mean or Expected Value and Standard Deviation

4.3 Binomial Distribution

4.4 Geometric Distribution

4.5 Hypergeometric Distribution

4.6 Poisson Distribution


Chapter 5: Continuous Random Variables (Week 7)

5.1 Continuous Probability Functions

5.2 the Uniform Distribution

5.3 The Exponential Distribution


Chapter 6: The Normal Distribution (Week 8)

6.1 The Standard Normal Distribution

6.2 Using the Normal Distribution


Chapter 7: The Central Limit Theorem (Week 10)

7.1 the Central Limit Theorem for Sample Means (Averages)

7.2 The Central Limit Theorem for Sums

7.3 Using The Central Limit Theorem


Chapter 8: Confidence Intervals (Week 11)

8.1 A Single Population Mean using the normal Distribution

8.2 A Single Population Mean using the Student t Distribution

8.3 A Population Proportion


Chapter 9: Hypothesis Testing with One Sample (Week 12)

9.1 Null And Alternative Hypotheses

9.2 Outcomes and the Type I and Type II Errors

9.3 Distribution Needed for Hypothesis Testing

9.4 Rare Events, the Sample, Decision and Conclusion

9.5 Additional Information and Full Hypothesis Test Examples


Chapter 12: Linear Regression and Correlation (Week 3)

12.1 Linear Equations

  • See Section 2.2 in the College Algebra material above.

12.2 Scatter Plots

12.3 The Regression Equation

12.4 Testing the Significance of the Correlation Coefficient


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