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.
The City University reserves the right, because of changing conditions,
to make modifications of any nature in academic programs and requirements
of the university and its constituent colleges without advanced notice.
Students are advised to consult regularly with college and department counselors
concerning their programs of study.
Access the college's current and recent course bulletins.