AMS 007 - Winter 2007

AMS 007 - Winter 2007

• Announcements:
  • The formula sheet for the final exam is now available as the last item in the course handouts section below.
  • The take-home final is due at 5pm on Thu 22 Mar (you can put your exam under the door of Baskin 135).
  • Office hours to help you with the take-home final exam: Fri 16 Mar 10-11am (DD), Mon 19 Mar 11am-noon (NT), Tue 20 Mar 3-4pm (NT), Wed 21 Mar 3-4pm (DD), Thu 22 Mar 11am-noon (DD).
• Course handouts other than the lecture notes:
  • Introduction to AMS 7 and 7L
  • Tentative syllabus and reading list
  • Background survey
  • Resources available to you, including instructor and TA contact information and the timing of the discussion sections, labs and office hours.
  • Discussion section 1
  • Lab 1 (no assignment due)
  • Homework 1 (due 18 Jan)
  • Types of variables (qualitative/quantitative, nominal/ordinal, discrete/continuous, interval/ratio, dichotomous)
  • Discussion section 2
  • Lab 2 (assignment due in class or in lab during the week of 29 Jan-2 Feb)
  • Journal article to read as part of Lab 2: Bennett EL, Diamond MC, Krech D, Rosenzweig MR (1964). Chemical and anatomical plasticity of the brain. Science, 146, 610-619.
  • Homework 2 (due 30 Jan)
  • Observational studies and controlled experiments: case study and flow chart for classifying experimental designs
  • Summary of basic probability rules
  • Discussion section 3
  • Lab 3 (assignment due in class or in lab during the week of 12-16 Feb)
  • Probability case study: Simpson's Paradox
  • Probability case study: Roulette
  • Examples of the Central Limit Theorem
  • Discussion section 4
  • Probability case study: Hypokalemia
  • Chapter 9, on Expected Value, Standard Error, and the Central Limit Theorem, from Draper D (2007). Thinking About Uncertainty: An Introduction to Probability and Statistics (in preparation, draft 11).
  • Chapter 10, on Working With Averages, from Draper D (2007). Thinking About Uncertainty: An Introduction to Probability and Statistics (in preparation, draft 11).
  • Mid-quarter course evaluation form
  • Discussion section 5
  • Lab 4 (no assignment due)
  • Discussion section 6
  • Homework 3 (due 27 Feb)
  • Discussion section 7
  • Lab 5 (assignment due in class or in lab during the week of 26 Feb-2 Mar)
  • Discussion section 8
  • Lab 6 (assignment due in class or in lab during the week of 5-9 Mar)
  • Training your eye to read correlation values
  • Homework 4 (due 6 March)
  • Discussion section 9
  • Lab 7 (no assignment due)
  • Homework 5 (due 15 March)
  • Discussion section 10
  • Lab 8 (no assignment due)
  • Undergraduate probability and statistics classes at UCSC that follow on from AMS 7
  • Formula sheet summarizing all of the main methods we covered
• Printed lecture notes and extra (handwritten) notes (from class; DD = David Draper, SZ = Sarah Zins):
  • (4 Jan) Lecture notes, chapter 1 part 1 (pages 1-8) and extra notes: DD
  • (9 Jan) Lecture notes, chapter 1 part 2 (pages 9-18) and extra notes: DD
  • (11 Jan) Lecture notes, chapter 1 part 3 (pages 19-32) and extra notes: DD
  • (16 Jan) Lecture notes, chapter 2 part 1 (pages 1-9) and extra notes: DD
  • (18 Jan) Extra notes: DD
  • (23 Jan) Lecture notes, chapter 3 part 1 (pages 1-11) and extra notes: DD
  • (25 Jan) Extra notes: DD
  • (30 Jan) Extra notes: DD
  • (1 Feb) Lecture notes, chapter 4 part 1 (pages 1-7) and extra notes: DD
  • (6 Feb) Extra notes: DD, SZ
  • (8 Feb) Extra notes: DD, SZ
  • (13 Feb) Extra notes: DD, SZ
  • (15 Feb) Extra notes: DD, SZ
  • (20 Feb) Lecture notes, chapter 5 (pages 1-20) and extra notes: DD, SZ
  • (22 Feb) Lecture notes, chapter 6 part 1 (pages 1-31) and extra notes: DD
  • (27 Feb) Lecture notes, chapter 6 part 2 (pages 32-49) and extra notes: DD, SZ
  • (1 Mar) Extra notes: DD, SZ
  • (6 Mar) Lecture notes, chapter 7 (pages 1-21) and extra notes: DD, SZ
  • (8 Mar) Extra notes: DD, SZ
  • (13 Mar) Lecture notes, chapter 8 (pages 1-20) and extra notes: DD
  • (15 Mar) Extra notes: DD, SZ
• Data files (in .jmp or .txt format) and scripts (in .jsl format) for the labs:
  • The butterfly wing length data from Zar (1999)
  • The raw cortex data set from the psychobiology case study, and the corresponding (pooled) paired cortex data set
  • The random sums and random means scripts for experimenting with the Central Limit Theorem, and datasets for that experimentation: roulette1 (single number), uniform, fake, sedge, roulette2 (split), and roulette3 (red and black)
  • The script for simulating the creation of 95% confidence intervals for the mean, and two data sets for that simulation: crab-simulation (a population of N = 100,000 values based on the crab equilibrium temperatures data set from Zar), and strontium (a population of N = 100,000 values based on a data set from my consulting work on nuclear power waste disposal risk assessment)
  • The intertidal crab body temperature sample data set (n = 25) from Zar (1999)
  • The arthropod calcium data set (n = 13) from Zar (1999)
  • The hemophilia clotting times data set (n = 13) from Zar (1999)
  • The bird respiration data set (n = 8) from Zar (1999)
  • Lead levels in soil samples (n = 313) from Moore and McCabe (1999), also examined in Discussion Section 10

visits since 16 Jan 2007.

(last modified: 15 Mar 2007)