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E. Philip Saunders College of Business

Math Waiver Exam

Because adequate preparation in basic mathematics is vital to success in graduate coursework, a Graduate Math Review course is required for all incoming students. However, a waiver exam will be given during the orientation program to allow you to test out of the Graduate Math Review course. The exam covers basic computational skills, algebra, and introductory statistics and takes approximately 60 minutes to complete. An outline of the topics that will be covered is provided below.

The Graduate Math Review course is divided into two parts, algebra and statistics. The cost of the course will be either $225 or $450 depending on which parts you will need. The Graduate Math Review course is a non-credit course which carries zero (0) credit hours; it is graded on a pass/fail basis. Students must successfully complete this course before moving forward in their graduate studies.

Algebra

  1. Linear Mathematics
    1. Arithmetic operations
    2. Fractions and percents
    3. Factorials
    4. Solutions of equations
    5. Linear functions - graphs, equations for straight lines
    6. Solving systems of linear equations
  2. Non-Linear Mathematics
    1. Polynomials - addition, subtraction, multiplication
    2. Factoring
    3. Algebraic fractions
    4. Exponents
    5. Radicals
    6. Solving quadratic equations - quadratic formula
    7. Solving systems of equations

Statistics

  1. Descriptive Statistics
    1. Qualitative and quantitative data
    2. Frequency distribution and graphs
    3. Measures of location - mean, median, mode
    4. Measure of dispersion - range, interquartile range, average deviation, variance, standard deviation, coefficient of relative variation
    5. Z-scores, percentiles, quartiles
    6. Measures of association between two variables - covariance, correlation coefficient
  2. Probability Distributions, Sampling
    1. Random variables
    2. Discrete probability distributions
    3. Expected value and variance
    4. Normal probability distribution
    5. Simple random sampling
    6. Central Limit Theorem

If you have any questions, please call us at (585) 475-7939 or send us an email.