Statistics 13: Introduction to Statistical Methods for the Health and Life Sciences

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For the course syllabus click here.

Useful links:

For some of the labs you will need to access the Statistics Online Computational Resource (SOCR) at:
  • http://www.socr.ucla.edu

    It's online, therefore it exists!


    The labs are listed under the following link (instructions will be given as to which lab is due when etc. - mainly distributions and experiments activities):
  • http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials.
  • Probability and Statistics EBook.
  • Download R and packages.

    Read this:

  • Numbers matter (text file).

    Labs

  • Lab 1: Lab based on the beeswax paper. Due on Monday, 07 October before 23:59.
  • Lab 2: Introduction to R. Due on Friday, 11 October before 23:59.
  • Lab 3: North Carolina SIDS data. Due on Friday, 18 October before 23:59.
  • Lab 4: Breast cancer mortality data and asbestos fibers data. Due on Monday, 21 October before 23:59.
  • Asbestos paper (see lab 4).
  • Lab 5: Dice experiment: Due on Friday, 01 November before 23:59.
  • Lab 5: Monty Hall experiment: Due on Friday, 01 November before 23:59.
  • Lab 5: Birthday experiment: Due on Friday, 01 November before 23:59.
  • Lab 6: Geometric, Binomial, Hypergeometric probability distributions using SOCR. Due on Friday, 08 November before 23:59.
  • Lab 6 (examples 2 and 3 only): Some examples on probability distributions using SOCR: Due on Friday, 08 November before 23:59.
  • R commands for some of the questions of lab 6: By Siavash Jalal.

    Handouts

  • 1. Measures of central tendency and variation.
  • 2. Empirical cumulative distribution function - example.
  • 3. Survival analysis - example.
  • 4. Survival analysis - R commands.
  • 5. Introduction to R.
  • 6. Introduction to regression analysis.
  • 7. Leverage values and outliers in regression - example.
  • 8. Influential analysis - example.
  • 9. Influential analysis - R commands for handouts 7 and 8.
  • 10. Regression - practice questions.
  • 11. Introduction to stock market portfolio analysis.
  • 12. Probability.
  • 13. Poker combinations and probabilities.
  • 14. Discrete random variables (introduction).
  • 15. Joint distributions - example.
  • 16. Discrete probability distributions.
  • 17. Answers to practice problems of handout #16, pages 11-12.
  • 18. Normal distribution.
  • 19. Linear combinations of normal random variables.
  • 20. Exam 2 practice problems I.
  • 21. Exam 2 practice problems II.
  • 22. Exam 2 practice problems III.
  • 23. Exam 2 - practice problems.
  • 24. Central limit theorem (distribution of the sample mean and the sample proportion).
  • 25. Central limit theorem - examples.
  • 26. Confidence intervals.
  • 27. Confidence intervals - answers to sample problems.
  • 28. Hypothesis testing.
  • 29. Article related to the paired-t test.
  • 30. Testing for two population means.
  • 31. Analysis of variance (ANOVA).
  • 32. Contingency tables.
  • 33. ANOVA example.

    Homework

  • Homework 1: Due on Wednesday, 09 October.
  • Homework 2: Due on Wednesday, 16 October.
  • Homework 3: Due on Thursday, 24 October.
  • Homework 4: Due on Thursday, 07 November.
  • Homework 5: Due on Wednesday, 20 November.
  • Homework 6: Due on Thursday, 21 November.
  • Homework 7: Due on Tuesday, 03 December.
  • Homework 8: Due on Wednesday, 04 December.

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