Ivo Dinov
UCLA Statistics, Neurology, LONI
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Statistics 157
Spring 2010
Probability and Statistics Data Modeling and Analysis
using the Statistics Online Computational Resource

Course Description

Ivo D. Dinov, Ph.D.
Associate Professor of Statistics and Neurology
UCLA School of Medicine

Lectures: MWF 9:00 - 9:50 AM, MS 5128

(Lab alternates) MF 9:00 - 9:50 AM, Boelter 9413 (Stat Lab)

Discussions Section Information
DIS 1A T 9:00 - 9:50 AM MS 5203 (Open discussion, no TA!)

Instructor Office: Main: Boelter 9432
Virtual Office Hours (STAT 157 Forum)
STAT Computer Lab: http://www.stat.ucla.edu/computing/labs/ see the Lab Calendar.

Grading policy and basis for Final Grade: HW Assignment Policy:

Textbook: SOCR EBook, Instructor's Notes and SOCR resources.

Overall Description:

Lecture, three hours; (open) discussion, one hour.

Basic introductory probability topics in interactive problem-driven manner. Various applets, interfaces, and demonstrations used to illustrate fundamental properties of distributions, random number generation, combinatorics, expectation, variability, and sampling. Assignment of projects that require light computer programming. Emphasis on practical description, utilization, and graphical presentation of various probabilistic modeling techniques. P/NP or letter grading.

Tentative schedule of topics to be covered
  1. Introduction - Probability, data analysis, sampling theory and statistical inference.
  2. Basic Probability

  3. Descriptive Data Analysis of random samples

  4. Sampling and back to probability

  5. Statistical Inference

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