UCLA STAT 13 (sections 1a, 1b & 1c) Fall 2001

Introduction to Statistical Methods for the Life and Health Sciences

    http://www.stat.ucla.edu/~dinov/

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:
  • Katie Tranbarger (section 3a, 3b) E-mail: ktranbar@stat.ucla.edu and
  • Scott Spicer (section 3c) E-mail: spicer@stat.ucla.edu

    • Lectures: (DODD 175), MWF, 12:00-12:50 AM

    Discussions Section Information
    Section IDSectionClassroomTimeTA Name
    2630402011a(Disc.) Boelter 9413 T 11:00-11:50 AM Katie Tranbarger
    2630402011a(Lab) MS 5203 R 11:00-11:50 AM Katie Tranbarger
    2630402021b(Disc.) Boelter 9413 T 12:00 - 12:50 PM Katie Tranbarger
    2630402021b(Lab) MS 5203 R 12:00-12:50 PM Katie Tranbarger
    2630402031c(Lab) Boelter 9413 T 1:00 - 1:50 PM Scott Spicer
    2630402031c(Disc.) MS 5203 R 1:00-1:50 PM Scott Spicer

    Instructor Office: Main: MS 8142E (alternative: CHS, UCLA School of Medicine, Reed 4-238, by appt. only)
    TA Offices:Katie MS ???; Scott 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.
    Ivo D. Dinov, Ph.D., Departments of Statistics & Neurology, UCLA