Ivo Dinov
UCLA Statistics, Neurology, LONI
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Statistics 13, sec. 02
Fall 2003
Introduction to Statistical Methods
for the Life and Health Sciences
Course Description

Instructor:
Ivo D. Dinov, Ph.D.
Assistant Professor in Statistics,
Research Scientist, Department of Neurology,
UCLA School of Medicine
E-mail: 		Teaching Assistants:

  • Ming Zheng  (section 2a) E-mail: zmdl@stat.ucla.edu
  • Sovia Lau  (section 2b) E-mail: lausov@stat.ucla.edu and
  • Tianwei Yu  (section 2b) E-mail: tyu@stat.ucla.edu and 

    • Lectures: KNUDSEN 1200B  MWF  12:00 - 12:50 PM

    Discussions Section Information
    DIS 2A T,R 10:00A 10:50A MS 5203/Lab
    DIS 2B T,R 11:00A 11:50A MS 5203/Lab
    DIS
    		 2C
    		 T,R
    		 3:00PM
    		 3:50PM
    		 MS
    		 5217/Lab

    Instructor Office: Main: MS 8142E (alternative: CHS, UCLA School of Medicine, Reed 4-238, by appt. only)
    TA Offices:  Sovia Lau , MS 3955; Ming Zheng  MS 8118,  Tianwei Yu  MS
    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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