MATH345-01A Probability and Statistics I (with Staff)

MATH345-01A Probability and Statistics I (with Staff)

Introduction to the fundamental ideas and techniques of probability theory. Topics covered: properties of probability, independence, conditional probability, discrete and continuous random variables, density and distribution function, expectation, variance, covariance, moments, correlation, joint distribution, marginal, some common distributions such as uniform, Bemoulli, binomial, exponential, Poisson and normal distribution, and the Central Limit Theorem. The course also introduces some basic ideas of statistical analysis, e.g. parameter estimation and hypothesis testing.

Prerequisite(s): MATH 141.





Day(s) and Time(s):

May 26-Jul 9
MTuWTh: 10-11:30a


Course is full.
Class Number:2276_Smr2020
Your Price*: $1,050.00

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Remote: Courses that are typically taught face-to-face will be delivered remotely this summer. As opposed to an online course, which requires no live sessions and allows a student to study anytime, a remote course is either: (1) a course with live class sessions delivered via web conferencing, or (2) a course with pre-recorded lectures that a student can watch anytime, typically paired with live discussions sessions. For more detail on the remote format of a specific course, contact the instructor.

Important Dates
Session 1 classes start: May 26, 2020
Session 1 deadline for 100% refund: May 28, 2020
Session 1 deadline for 50% refund: June 2, 2020
For other important dates: