Ivo Dinov
UCLA Statistics, Neurology, LONI
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Statistics 13, sec. 01
Winter 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:

  • Ming Zheng  (section 1a,b) E-mail: zmdl@stat.ucla.edu
  • Annie Che  (section 1c) E-mail: chea@stat.ucla.edu
  • Lectures: KNUDSEN 1200B  MWF  11:00 - 11:50 AM

    Discussions Section Information
    DIS 2A T,R 11:00A 11:50A MS5203 Lab-Boelter 9430
    DIS 2B T,R 12:00P 12:50P MS5203 Lab-Boelter 9430
    Lab-Boelter 9430

    Instructor Office: Main: MS 8142E (alternative: CHS, UCLA School of Medicine, Reed 4-238, by appt. only)
    TA Offices: Ming Zheng  MS 8118,  Annie Che  TBA
    Virtual Office Hours (STAT13-1 Forum)
    STAT Computer Lab: http://www.stat.ucla.edu/undergraduate/icl/
    Hershey's Lab (secondary computer lab, walk-ins) http://www.stat.ucla.edu/computing/labs/lrc_schedule_current.php

    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. Bivariate Data, Correlation, Ch. 3
    4.  Probability & Independence, Ch. 4
    5. Discrete Random Variables, Binomial Distribution, Expected Value, Variance, Ch. 5
    6. Bayes' Rule, supplement
    7. Continuous Random Variables, Normal Distribution, Ch. 6
    8. Inference, Means, Central Limit Theorem, Ch. 7
    9. Confidence Intervals, Ch. 8
    10. Hypothesis Testing, Ch. 9
    11. 2 independent samples, t-test, Ch. 7, 8, 9
    12. Chi-Square (χ2) Goodness-of-fit test
    13. Regression & Correlation, Ch. 12
    14. ANOVA, Chi-square, Ch. 11

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