Transcript Introduction to Probability and Statistics Eleventh Edition

Welcome to Pstat5E:
Statistics with Economics and
Business Applications
Syllabus
Yuedong Wang
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Course Logistics
• Location: BRDA 1610, TR 12:00-1:45pm
• Instructor: Yuedong Wang
– Office: 5509 South Hall
– Phone: 893-4870
– E-mail: [email protected]
– Office hour: MF 11:00 - 12:00
• Teaching Assistants: Brianna Briggs, Biliana
Bagasheva, Anna Chernobai, Michael Grebeck,
Eli Kollman, Jeongjun Lee, Joao Rosario,
Sarani Saha
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Course Logistics
• Text Book:
A Brief Course in Business Statistics, 2nd Edition, by
William Mendenhall, Robert J. Beaver and Barbara
M. Beaver. Duxbury, ISBN: 0534381308.
• Calculator: You will need a basic calculator and
bring it to all lectures, discussions, quizzes and
exams.
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Purposes and Topics
• Purpose of this class: The aim of this course is to
introduce basic concepts of probability and statistics
so that one is able to understand and perform simple
data analysis. The emphasis will be on concepts and
problem solving rather than on theory.
• Topics: Descriptive methods, graphs, measures of
central tendency and spread, probability, random
variables, mean and variance, binomial and normal
distributions, confidence intervals, hypotheses
testing, correlation and regression.
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Teaching Assistant and Discussions
We do several things in the two-hour weekly
discussions:
• Quizzes which consists of problems selected from
the previous week's Homework assignment.
• Students and the TA work through a Practice Quiz.
• Students are encouraged to request the TA's help with
homework problems during Discussion.
You must attend Discussion Sections each week,
where quizzes are given. TA's hold individual office
hours and you are encouraged to go to ANY of those
for help, not just your TA. There will be NO
Discussion this week. No discussion next Monday.
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Homeworks and quizzes
• Homeworks will be assigned in classes but will not
be collected. There will be a 15-25 minutes quiz
almost every week during Discussion Sections based
on homework problems assigned in the previous
week. These quizzes will be graded and will count
towards the final grade.
• Exams:
– Midterm: Tuesday, Feb. 14, 2006, 12:30-1:45 pm
– Final: Monday, March 20, 2006, 12:00-3:00 pm
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Course Grading
The final grade will be based on a curve of the
overall score computed as follows:
Quizzes: 30%
Midterm: 30%
Final: 40%
No make-up or early exams. No make-up
quizzes. The single lowest Quiz score is
dropped in the calculation of the course grade.
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Class Web Pages
• ERes The official site is http://eres.library.ucsb.edu.
The password is “crash".
• My Web page: I have also created a web site,
http://www.pstat.ucsb.edu/faculty/yuedong/5E/5E.htm
You can find the following on the above sites:
– Timely course announcements
– TA office hours and locations, and email addresses
– Discussion section times and locations
– Class schedule and notes
– Homework, quizzes, exams and their solutions
– Practice exams with solutions
– Class rules
– How to do well in this class
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Academic Honesty
You are expected to abide by the academic
honesty code as stated in the UCSB General
Catalog on all work for this course. In
particular, during the exams and quizzes, you
are required to work alone and for only the
specified time period.
The penalty for the first offense of academic
misconduct in this class will be a score of zero
on the exam or quiz. The second offense will
result in a failing grade in the course and may
result in a referral to the academic judiciary.
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Procedures if you suspect your work has
been graded incorrectly
Every effort will be made to mark your work
accurately. You should be credited with all the
points you've worked hard to earn! However,
sometimes grading mistakes happen. If you believe
that an error has been made on your exam, return
the exam to the TA immediately, stating your claim
in writing. Your TA will then pass the script to me
and I will re-grade the entire paper. Please note
that grades can go down as well as up or remain
the same.
Under no circumstances will a midterm paper that
has been taken away from class be re-marked.
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Extra Help
• CLAS Campus Learning Assistance Service
offers tutoring in small groups for this class
• Private Tutors: we recommend graduate
students from the Department of Statistics, if
you really want to hire a private tutor
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Work Load
This is a 5-unit course and therefore, according
to University regulations, it carries a workload
of about 15 hours per week. This includes
lectures and discussion sections. The remainder
of the time being private study.
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How to do well in the class
Statistics is a problem-solving subject. Practice
in problem solving, and completing and
understanding the assigned reading and
homework are essential to success on the
exams. Suggestions for success in the class:
• Attend all lectures. I will not “read from the
book” and you will not necessarily find the
examples from lecture in the textbook.
• Attend all discussion sections where quizzes
are given.
• Take all quizzes and exams.
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How to do well in the class
• Do the reading before attending lecture.
• Do the homework. Do your own work. You
may discuss problems with classmates, but
don't copy from them. Compare homework
answers with solutions posted on the web sites.
• Study and practice solving problems before
taking quizzes and exams.
• Spend 15 hours each week.
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