Mathematical Statistics Minor
This 15-credit minor is for Silberman College students and Becton College Science students.
MATH 1203 Calculus I (4 credits)
MATH 2202 Calculus II (4 credits)
MATH 3303 Probability & Statistics (4 credits)
MATH 3300 Statistics I (3 credits)
MATH1203 Slope of a straight lines, slopes of a curve, rate of change of functions, derivatives of algebraic and trigonometric functions, maxima and minima, Mean Value Theorem, indefinite and definite integrals and their applications.
MATH2202 Differentiation and integration of transcendental functions, methods of integration, indeterminate forms, infinite series. Taylor series. Conic sections.
MATH3300 A calculus-based introduction to statistics, covering a range of topics from descriptive statistics discrete and continuous probability distributions, sampling distributions, interval estimation, test of hypothesis, linear regression, and ANOVA.
MATH3303 This course introduces students to the basic theory of probability. Both discrete and continuous probabilistic models are used to solve problems. Concepts and techniques from discrete math, such as Boolean Algebras are used in discrete cases. Differentiation and integration techniques are used in continuous cases. Students get familiar with common discrete distributions; binomial, geometric and Poisson. Continuous distributions covered include: normal, exponential, gamma and chi-squared. Students also learn how to calculate means, variances and moment generating functions.