DOC PREVIEW
UCLA STATS 10 - syllabus

This preview shows page 1 out of 4 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 4 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 4 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

Statistics 10 - Statistical ReasoningWinter 2008Section 2AYour TA: Ryan RosarioEmail: [email protected]: MS 8105HMy Website: http://www.stat.ucla.edu/∼rosarioOffice Hours: Wednesday, 4:00-5:30pm, or by appointment.My BackgroundPursuing Ph.D., Statistics.Pursuing M.S., Computer Science.M.S. Statistics. University of California, Los Angeles, 2007.B.S. Mathematics of Computation, Statistics. University of California, Los Angeles, June 2006.Born and raised in Southern California. Originally from Thousand Oaks, CA.Section 2A Meeting TimesDay Time Location PurposeTuesday 11:00 - 11:50 MS 5203 HW/concept questions, quiz review.Thursday 11:00 - 11:50 BOELTER 9413 Start lab assignment, HW/concept questions.Format of SectionsOn Tuesday we will spend most of the time going over questions from the homework and the related materialfrom lecture. It is to your benefit to have at least looked at the problems by time we discuss them. I willusually do one problem directly from the homework and the remaining problems that I do in section will bethose that I feel are similar to the homework, or challenging and worth trying. We will also spend time ingroups discussing the latest quiz.On Thursday, we will spend most of our time on the lab assignment. We will use the software packageFathom to complete the lab assignments. Fathom will be introduced during the first lab session on January10. Please try to be on time to lab so you do not miss any directions.If you do not complete your lab assignment during class, you will need to go to one of the Statistics ComputingFacilities to finish it so you can submit it on time. There are two labs: one on the 8th floor of the MS buildingin MS 8349 and the other is where we mee t for lab, Boelter 9413. They are typically open from 8am-5pmweekdays, but check http://labs.stat.ucla.edu/ for an exact schedule and for more information.To help our grader, please include your name, UID # and section (or TA name) on all of yourwritten work. Please staple your work and write neatly. If you make an e rror, please erase it cleanly, neatlycross out the error, or use white-out. For more severe errors, just start on a new sheet of paper.1Where to Get HelpIf you need help in this class, there are plenty of resources available to you:• My office hours as well as Prof. Kriegler’s office hours.• You can email me (or the professor). I usually respond pretty quickly.• AAP (Campbell Hall), Athletics (Covel 209) or Academics in the Commons (Covel 230) may offerStatistics 10 tutoring for eligible students. Please check with them before going to visit.• For outside help, check out the list of Statistics tutors at http://teaching.stat.ucla.edu/tutoring/.These are other graduate students in the Department that can offer a more structured environmentfor one-on-one help.• If you want more practice, you can try non-assigned problems in the textbook with available solutionsin the back. I also recommend these books that I used when I took this course:Statistics Problem Solvers, Research & Education Association, 1978.A giant book of just practice problems with complete solutions. It is dated, but still relevant to today’scurriculum. There are others in this series that cover most topics in mathematics and science includingcalculus, advanced and vector calculus, physics, chemistry, differential equations, linear algebra andvarious engineering courses.Schaum’s Outline of Probability and Statistics, M. R. Spiegel, et. al., 2000.This book is probably more useful for the inferential statistics part of this course. This is also a verylarge series covering lower-division mathematics and science, as well as som e upper-division courses.2Why are “They” Making me Take this Class?Perhaps early on in your education this is a question worth entertaining. Statistics and many other fields gohand in hand. Some fields cannot exist w ithout Statistics, and other fields use Statistics to prove statementsor as the glue that connects two thoughts or disciplines together. Below is a list of fields and a bit ab out howStatistics can be used in each. We will not discuss these in this course, but I want to take this opportunityto show you the power of Statistics and how useful it can be.Psychology and Education. Psychologists and educational researchers are always finding ways to testnew methods of treatment for conditions, or new techniques for teaching and evaluating others. In bothfields, these types of studies require exp erime nts to be carefully constructed and carried out while respectingthe privacy of any human subjects that may be involved. The field of Psychometrics is a branch of Statisticsthat deals with the accurate and unbiased estimation of some underlying characteristic of an individualthat is not physical. In Psychology, this trait may be “intelligence” or “depression” and may be me asuredusing questionnaires, observations, or some rating scale. In educational research, the same instruments aretypically used, but in educational testing, standardized tests are used (i.e. SAT, ACT, CAT/6, STAR etc.).Statistics is used not only in the reporting of test scores, but also as a way to determine the quality of eachand every test question (or task in psychology) and to protect assessments (or scales) against demographicor statistical bias. Psychometrics is also used to ensure that two completely different tests with completelydifferent questions measure the same skills (i.e. several forms of the SAT per test day).Linguistics. Words, sente nces and other language objects can be counted and quantified just as numberscan be. For example, behavioral psychologists and political scientists use pronoun counts to determine howselfless a person or candidate is. Word emotion (positive, negative, happy, sad) can be used to judge thefeelings or tone of a person. But why is this necessary? Well, the fun is that Statisticians and ComputerScientists are training computers to do this so processing large datasets becomes quicker and cheaper. Thenthere is the immense world of natural language processing which I won’t even get into here!Computer Science. On the Internet, we leave traces of ourselves everywhere. Web server access logs,blogs, social networking sites, emails, IMs. Devices such as cell phones and PDAs are becoming increasinglyuseful in the sharing of information. Fusing and merging all of this trace data together can provide a veryelaborate story of a person. The Internet itself


View Full Document

UCLA STATS 10 - syllabus

Download syllabus
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view syllabus and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view syllabus 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?