STAT 110A: Applied Statistics 

(Spring 2004 , Lecture 2) 

Syllabus

Instructor: Hongquan Xu

Office: 6159 Math Sciences Bldg

Phone: (310) 206-0035


 Lecture (Time/place):    MWF 11:00-11:50am  MS 5128
Office Hours:    MWF 12-1pm   MS 6159

Discussion:  2A.  R 2:00-2:50pm MS 5128 


  Course Homepage: http://www.stat.ucla.edu/~hqxu/stat110A/

 

TEXTBOOK (required):

Probability and Statistics for Engineering and the Sciences   (6th ed), 2004,
by Jay L. Devore.  Brooks/Cole.


Grading Policy

Your grade will be based on

  • Two Midterms (20% + 20%)
  • Final Exam (50%)
  • Homework (10%)


The course is graded on a "curve". Grades 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 is due to a procedural or clerical error.

 

Exams

There are two midterms and one final.

 

  • Midterm Exam 1:  Monday , April 26, 11:00-11:50am.
  • Midterm Exam 2:  Monday, May 24,  11:00-11:50am.
  • Final Exam:  Monday, June 14,  3:00-6:00pm.

 

The exams emphasize concepts discussed in class and covered in the homework. 

 

If, for some reason, you know you cannot make those dates, you must see me as soon as possible. Make-up examinations are given only in exceptional circumstances. You must provide me the documentation to verify your claim. A make-up exam will have a different format from the regular examination.

 

Homework

Homework will be assigned weekly on the Web.  Homework will be graded 0 (not turned in) to 5 (excellent).   Make sure to print your name clearly on your homework.   To receive credit, you must turn in your homework on time. No late homework.


Course Outline
The course will cover the first nine chapters of the textbook:
  1. Overview and Descriptive Statistics
  2. Probability
  3. Discrete Random Variables and Probability Distributions
  4. Continuous Random Variables and Probability Distributions
  5. Joint Probability Distributions and Random Samples
  6. Point Estimation
  7. Statistical Intervals Based on a Single Sample
  8. Test of Hypotheses Based on a Single Sample
  9. Inferences Based on Two Samples

Requirements

You will attend lectures through all ten weeks of the quarter and take all exams on the days they are given.  You will turn in homework assignments when they are due.   You will come to class on time and remain until I have completed the day's lecture.



Advanced Honors Seminar (Stats 189 SEM 2):

You are encouraged to enroll in the advanced honors seminar (Stats 189, Sem 2) for this class, held in computer lab.   You will learn how to use statistical software to do applied statistics.