UCLA STAT 13 (sections 1a, 1b & 1c) Fall 2002

Introduction to Statistical Methods for the Life and Health Sciences

UCLA Department of Statistics - STAT 13 - Statistical Methods for the Life and Health Sciences


Instructor:
Ivo D. Dinov, Ph.D.
Assistant Professor in Statistics,
Research Scientist, Department of Neurology,
UCLA School of Medicine
E-mail: 		Teaching Assistants:
  • Tom Daula (section 1c, 1b) E-mail: daula@stat.ucla.edu and
  • Kaiding Zhu (section 1a) E-mail: kaiding@stat.ucla.edu

    • Lectures: (DODD 161), MWF, 12:00-12:50 AM

    Discussions Section Information
    Section IDSectionClassroomTimeTA Name
    2630402011c(Disc.) MS 5203 R 11:00-11:50 AM Tom Daula
    2630402011c(Lab) Boelter 9413 T 11:00-11:50 AM Tom Daula
    2630402021b(Disc.) MS 5203 R 12:00 - 12:50 PM Tom Daula
    2630402021b(Lab) Boelter 9413 T 12:00-12:50 PM Tom Daula
    2630402031a(Disc.) MS 5203 R 1:00 - 1:50 PM Kaiding Zhu
    2630402031a(Lab) Boelter 9413 T 1:00-1:50 PM Kaiding Zhu

    Instructor Office: Main: MS 8142E (alternative: CHS, UCLA School of Medicine, Reed 4-238, by appt. only)
    TA Offices: Tom MS ???; Kaiding MS 3355D
    Virtual Office Hours (STAT13-1 Forum)
     STAT Computer Lab: http://www.stat.ucla.edu/undergraduate/icl/
    Grading policy and basis for Final Grade:
    HW Assignment Policy:

    Textbook: Chance Encounters - A first Course in Data Analysis and Inference by Christopher Wild and George Seber (2000)
      Tentative schedule of topics to be covered
    1. Data Collection, Experiments, Observational Studies vs. Designed Experiments, Ch. 1
    2. Variables Graphical & Numerical Summaries, Ch. 2
    3. Probability & Independence, Ch. 4
    4. Discrete Random Variables, Binomial Dist, Expected Value, Variance, Ch. 5
    5. Bayes' Rule, supplement
    6. Continuous Random Variables, Normal Distribution, Ch. 6
    7. Inference, Means, Central Limit Theorem, Ch. 7
    8. Confidence Intervals, Ch. 8
    9. Hypothesis Testing, Ch. 9
    10. Z-test for mean, proportion, Ch. 10
    11. 2 independent samples, t-test, Ch. 7, 8, 9, 10
    12. Bivariate Data, Correlation, Ch. 3
    13. Regression, Ch. 12
    14. ANOVA, Chi-square, Ch. 11

    Prof. Dinov is very thankful to the textbook authors, Prof. Christopher Wild and Prof. George Seber, for providing many useful teaching aids and other support for this class.
    Last modified on by .
    Ivo D. Dinov, Ph.D., Departments of Statistics and Neurology, UCLA School of Medicine