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WGU Applied-Algebra Exam Syllabus Topics:

SectionObjectives
Polynomial and Rational Expressions- Polynomials
  • 1. Operations with polynomials
    • 2. Factoring techniques
      - Rational Expressions
      • 1. Restrictions on variables
        • 2. Simplification
          Exponential and Logarithmic Concepts- Logarithmic Basics
          • 1. Logarithm properties
            • 2. Conversion between exponential and logarithmic form
              - Exponential Functions
              • 1. Growth and decay models
                • 2. Exponential equations
                  Functions and Graphs- Function Concepts
                  • 1. Function notation
                    • 2. Domain and range
                      - Graphing Functions
                      • 1. Coordinate plane interpretation
                        • 2. Transformations of graphs
                          Foundations of Algebra- Algebraic Expressions
                          • 1. Simplifying expressions
                            • 2. Order of operations
                              • 3. Evaluating expressions
                                - Equations and Inequalities
                                • 1. Linear equations in one variable
                                  • 2. Inequalities and interval notation
                                    Linear Functions and Systems- Systems of Equations
                                    • 1. Elimination method
                                      • 2. Substitution method
                                        - Linear Equations
                                        • 1. Slope-intercept form
                                          • 2. Point-slope form

                                            WGU Applied Algebra FXO2 PFXP C957 Sample Questions:

                                            1. The data in the scatterplot represents the number of monthly train crossings at a particular intersection over time.

                                            Which type of function should be used to model the data?

                                            A) Logistic
                                            B) Polynomial
                                            C) Exponential
                                            D) Linear


                                            2. A new company just launched and is using the function M(t)to predict its market share after tyears. The graph of M(t)is shown.

                                            When should the company expect to have a market share of 40%?

                                            A) After 7.4 years
                                            B) After 3 years
                                            C) After 2 years
                                            D) After 0.8 years


                                            3. The function f(n) represents the relationship between the distances traveled by two vehicles, where n is the distance traveled by vehicle A and f is the distance traveled by vehicle B. The distance traveled by vehicle B is 17 more than the distance traveled by vehicle A.
                                            Which function represents this situation?

                                            A) f(n)=n#17
                                            B) f(n)=17n
                                            C) f(n)=n/17
                                            D) f(n)=n+17


                                            4. The logistic function f(x), whose graph is shown, models the number of people who have created a website account, where xrepresents the number of days since the website started and f(x)represents the number of people who have created an account.

                                            What is one range of values for which the graph is concave down?

                                            A) (0#16)
                                            B) (0#8)
                                            C) (0#12)
                                            D) (8#16)


                                            5. A researcher collected data on the number of annual bear sightings in a region over time. The results are shown in the scatterplot. A regression function is graphed with r^2=0.42. The predicted number of annual bear sightings after 19.5years is 62.2.

                                            Is this prediction appropriate?

                                            A) No. The r^2value indicates a moderate fit, but x=19.5is more than 25%of the range beyond the maximum value.
                                            B) Yes. The r^2value indicates a strong fit, and x=19.5is within 50%of the range of the maximum value.
                                            C) No. The r^2value indicates a strong fit, but x=19.5is more than 50%of the range beyond the maximum value.
                                            D) Yes. The r^2value indicates a moderate fit, and x=19.5is within 25%of the range of the maximum value.


                                            Solutions:

                                            Question # 1
                                            Answer: C
                                            Question # 2
                                            Answer: A
                                            Question # 3
                                            Answer: D
                                            Question # 4
                                            Answer: D
                                            Question # 5
                                            Answer: A

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