STAT 3100 - Introductory Mathematical Statistics I F (3-0) [0.50]

The topics covered in this course include: Probability spaces; discrete and continuous random variables; multivariate distributions; expectations; moments, Chebyshev's inequality, product moments; sums of random variables, generating functions; Gamma, Beta, t and F distributions; central limit theorem; sampling distributions.

**Posted By :**Anonymous

**Posted On :**March 6, 2012

**Is the textbook recommended by the student?**Yes

**Did the student enjoy the professor?**No

**Professor**: Singh

**Comment :**

As previous commenter mentioned, strong math skills are important for this course. Definitely an essential course if you're going to pursue stats though.
I had Radhey Singh, and would recommend avoiding him if possible. His notes are really scattered, so you'll be learning from the text book.

**Recommendation Rating**

**Overall Difficulty**

**Posted By :**Anonymous

**Posted On :**March 5, 2011

**Comment :**

This course is hard if you don't have strong basic math skills (differentiation, integration ect.) But as a whole, it doesn't cover an overwhelming amount of material. Once you get it, everything wraps up nicely. It's definitely a 'snowball' course, everything builds on previous topics a lot. As a whole, its not that bad, but be prepared to work.

**Recommendation Rating**