STATISTICS 10
Introduction to Statistical Reasoning
Fall 2000 Syllabus
INSTRUCTOR
Vivian Lew, Ph.D.
Office: 8142D Math Sciences
Phone: (310) 206-6474
Email: vlew@stat.ucla.edu
Mailbox: 8142 Math Sciences Building (usually open from 8:30am to 4:30pm M-F)
Office Hours: Monday 10:30am - noon, Tuesday 3:30pm - 5:00pm and by appointment
TEACHING ASSISTANTS |
Offices |
Office Hours |
Vivian Chern |
Center for Health Sciences 21-245 |
Wednesday 10am - noon |
Duol Kim |
Math Sciences 3955 |
Tuesday 9am-1pm |
MEETING TIMES & PLACES
Lecture Section 1: Mondays, Wednesdays, & Fridays, 8:00am - 8:50am, Dodd 161
SECTIONS:
ID |
DAY |
TIME |
ROOM |
TA |
DIS 1A 263-031-201 |
Tuesday |
8:00 - 8:50am |
Math Sciences 5128 |
Chern |
DIS 1B 263-031-202 |
Tuesday |
8:00 - 8:50am |
Boelter 5280 |
Kim |
DIS 1C 263-031-203 |
Thursday |
8:00 - 8:50am |
Math Sciences 5128 |
Chern |
TEXT
Statistics (3rd edition), by David Freedman, Robert Pisani, and Roger Purves.
SUMMARY
In this course, you will learn about the role of probability and statistics in describing, inferring, decision-making, and predicting from data. We will stress the ideas underlying statistical methods and will focus on applications rather than on abstract theory. No computer software is used but it is strongly suggested that you own a calculator with a square root key at minimum for your exams.
SECTIONS and HOMEWORK ASSIGNMENTS
Sections are your opportunity to work through statistical issues, raise questions, and get a lot of help from your TA. Your six homework assignments are due at the end of lecture on the dates listed below.
Homework assignments are given out during lecture and then posted on the web. Only your best 5 of the 6 assignments will count towards your final grade. Missed/late homework assignments will not be accepted without prior arrangement/clearance from the professor.
Get help from people (me, your TA, classmates, friends, tutors) on your homework assignments. All I ask is that you attempt to solve the problems on your own and please turn in your own copy. Photocopied assignments will not be accepted (but you may wish to keep one for yourself).
Please do your homework, it cannot hurt you but only help you. Homework is graded on a plus (full credit: complete and correct), check (60% credit: either partly complete or partly correct), minus (20% credit: neither complete nor correct), or zero (no credit: not turned in) system. Not all questions assigned are graded. Questions are randomly selected for grading therefore, beware of incomplete assignments, they might be worth less than you think if we select questions for grading that you did not complete. Submit all homework grading complaints to the professor.
EXAMS
You will have two midterm exams and a final exam. The final exam code is 1 and it will be given on Wednesday, 12-13-2000, 8:00AM - 11:00AM in the lecture hall (unless you are told otherwise later in the quarter). The final exam is cumulative. Always bring a calculator and your student photo ID or some other kind of photo ID (e.g. driver's license, passport) to all exams. Identification will be checked and attendance will be taken. I will provide all answer forms and scratch paper. You will not need to purchase scantrons or bluebooks for any exam in this course.
MISSED EXAMS and GRADE APPEALS
Make-up examinations are given only when circumstances beyond a student's control make attendance during the scheduled examination period impossible. Documentation will be required to verify a student's claim and permission to take a make-up examination must be obtained from the instructor. If a make-up exam is permitted, it will be written individually for that student and will have a different format that the regular examination. In all cases, final determination of whether or not to give a make-up examination rests with the instructor.
There may be a time when we make a mistake grading one of your exams. If you think this is the case, write a note describing the error, attach it to the original exam, and give it to me within 3 business days of the return of your midterm. I will review your argument and the initial grading decision and return a decision to you in a timely manner.
FINAL GRADE
Your grade is based on your best 5 of the 6 homework assignments (total 10%), the 2 midterms (20% midterm 1, 30% midterm 2 -- total 50%) and the final (40%). The course is usually graded on a "curve". Grades are not e-mailed, posted, or given out over the phone, they can be found on URSA in a timely manner. If you believe your final grade is not correct after it has been issued, please contact me before the end of the second week of the next quarter. Requests for corrections after that time period will be denied unless it was due to a procedural or clerical error.
STAT 10 WWW PAGE
Class related material (i.e. lecture notes, handouts, practice exams) is available to you via the World Wide Web. The URL (``address'') of this course's page is:
http://www.stat.ucla.edu/courses/stat10/stat10_1/
SCHEDULE OF EVENTS
EVENT |
|
DATE |
Problem Set 1: |
|
Due in lecture October 13, 2000 |
Review Session (in lecture): |
|
October 16, 2000 |
Midterm I: |
|
October 18, 2000 |
Problem Set 2: |
|
Due in lecture October 20, 2000 |
Problem Set 3: |
|
Due in lecture October 27, 2000 |
Drop Date w/ No Notation |
|
October 27, 2000 |
Problem Set 4: |
|
Due in lecture November 3, 2000 |
Review Session (in lecture): |
|
November 6, 2000 |
Midterm II: |
|
November 8, 2000 |
Last Day to change to P/NP |
|
November 10, 2000 |
Holiday: |
|
November 10, 2000 |
Problem Set 5: |
|
Due in lecture November 17, 2000 |
Holiday |
|
November 24, 2000 |
Problem Set 6: |
|
Due in lecture December 8, 2000 |
Review Sessions (in lecture): |
|
December 6 and 8, 2000 |
Final: |
|
December 13, 2000 -- 8:00am - 11:00am |
Quick Overview of Stat10
Statistics is the science of collecting, presenting, and interpreting data to answer questions.
There are four primary issues:
1.Determining the question and the data that will help you answer the question.
2.Collecting the data.
3.Summarizing and presenting the data graphically and numerically.
4.Making generalizations from the data and drawing conclusions. Usually by making comparisons between groups of people, animals, or things.