AMS 007 - Winter 2007
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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).
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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
- (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
- 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
(last modified: 15 Mar 2007)