MATH 3501 Probability and Statistics I
3 hours lecture, 1 hour recitation; 3 credits
Descriptive Statistics: graphical representations; measures of central tendency; measures of spread; sample correlation. Probability Theory: Sample spaces; combinatorial theory; elementary probability; random variables; discrete and continuous probability distributions; moments and moment-generating functions; bivariate random variables; change of variables; limit theorems. (Not open to students who are enrolled in or have completed Mathematics 2501.)
Prerequisite: Math 2201.
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