— Mathematical Statistics: Brief Course
Basic probability, densities and distributions, mean, variance, covariance, Chebyshev's inequality, some special distributions, sampling distributions, central limit theorem and law of large numbers, point estimation, some methods of estimation, interval estimation, confidence intervals for certain quantities, computing sample sizes.
Prerequisites & course information
Course Description: Basic probability, densities and distributions, mean, variance, covariance, Chebyshev's inequality, some special distributions, sampling distributions, central limit theorem and law of large numbers, point estimation, some methods of estimation, interval estimation, confidence intervals for certain quantities, computing sample sizes. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics majors. Credit Limitation(s): Only 2 units of credit allowed to students who have taken STA 131A . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics majors. Credit Limitation(s): Only 2 units of credit allowed to students who have taken STA 131A . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL).
Sources
- Course catalogue ↗2026-2027