Ivo Dinov
UCLA Statistics, Neurology, LONI
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Statistics 13
Fall 2004
Introduction to Statistical Methods
for the Life and Health Sciences

Course Description

Ivo D. Dinov, Ph.D.
Assistant Professor in Statistics,
Research Scientist, Department of Neurology,
UCLA School of Medicine
Teaching Assistants:
  • Hui Wang  (section 1a) E-mail: hwangui@stat.ucla.edu and
  • Ming Zheng  (section 1b, 1c) E-mail: zmdl@stat.ucla.edu
  • Lectures: BOELTER 5249 MWF  9:00 - 9:50 AM

    Discussions Section Information
    DIS 1A T,R 9:00A 9:50A MS MS 5203 / Lab Boelter 9413
    DIS 1B T,R 10:00A 10:50A MS MS 5203 / Lab Boelter 9413
    DIS 1C T,R 11:00A 11:50A MS MS 5203 / Lab Boelter 9413

    Instructor Office: Main: MS 8917 (alternative: CHS, UCLA School of Medicine, Reed 4-238, by appt. only)
    TA Offices: Hui Wang, TBA;  Ming Zheng TBA
    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 Distribution, 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 and 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

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