Sections
Section M06: MWF 3:00-3:50pm, CB 330
Syllabus & Calendar
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Exam Dates
Exam 1: Friday, 13 September
Exam 2: Monday, 30 September
Exam 3: Friday, 11 October
Exam 4: Friday, 1 November
Exam 5: Friday, 15 November
Exam 6: Monday, 9 December
Exam Revision Deadlines
Exam 1: Wednesday, 18 September, 5:00pm
Exam 2: Friday, 4 October, 4:15pm
Exam 3: Monday, 21 October, 5:00pm
Exam 4: Wednesday, 6 November, 5:00pm
Exam 5: Wednesday, 20 November, 5:00pm
Exam 6: Friday, December 13, 11:50am
Course Handouts & Suggested Practice Problems
UNIT 1: Descriptive Statistics & Probability Basics
Capitals vs Lower Case
In this course, distinctions between capital and lower case letters, in many cases, will impact the meaning of what you write, and therefore we must be very careful to distinguish our capital and lower case letters in those cases where they are not necessarily distinct in casual writing.
Click here to see an image of how I distinguish my capital and lower case letters.
You are welcome to make your distinctions as I have done in the example above, but you are also welcome to come up with your own system. In an exam situation, you are welcome to provide a key on your paper which shows how you plan to distinguish your capital and lower case letters.
Section 1.1: Some Remarks on Sampling & Big Ideas (28 Aug.)
Section 1.2: Summary Statistics (28/30 Aug.)
Section 1.3: (Some) Graphical Summaries (4 Sept.)
Section 2.1: Basic Ideas in Probability (6/9 Sept.)
UNIT 2: Counting Techniques & More on Probability
Section 2.2: Counting Methods (11/16 Sept.)
Section 2.3: Conditional Probability & Independence & Bayes' Theorem (18/23/25 Sept.)
UNIT 3: A First Encounter with Random Variables
Section 2.4: All About Random Variables (27 Sept. & 2 Oct.)
Section 2.5: Linear Functions of Random Variables (4/7 Oct.)
UNIT 4: Some Discrete & Continuous Distributions
Section 4.2: Binomial Distributions (9 Oct.)
Section 4.3: Poisson Distributions (16 Oct.)
Section 4.4: Hypergeometric Distributions (18 Oct.)
Section 4.5: Normal Distributions (21/23 Oct.)
Section 4.7: Exponential Distributions (25 Oct.)
Section T-Time: Gossett's t-Distributions (28 Oct.)
A link to a workaround for those needing to find critical t-values on a TI-83 and certain TI-84 models.
A link to Gosset's article which appeared in Biometrika in 1908.
UNIT 5: Normality Assessment & Central Limit Theorem
Section 4.10: Normal Probability Plots (30 Oct.)
A YouTube video showing how to create a normal probabilty plot on a TI-83.
A YouTube video showing how to create a normal probability plot on a TI-84.
If you'd prefer to read instructions for this type of plot on a TI-83/84, visit this link.
I can't vouch for the ability of other calculators to do this type of plot -- swing by the office if you have concerns.
Section 4.11: The Central Limit Theorem (4/6/8 Nov.)
UNIT 6: Inferences on One Mean & One Proportion
Section 5.1: Confidence Intervals for a Population Mean, Known Variance (13 Nov.)
Section 5.2: Confidence Intervals for a Population Mean, Unknown Variance (18 Nov.)
Section 5.3: Confidence Intervals for a Population Proportion (20 Nov.)
You are responsible only for knowing how to construct AC confidence intervals and confidence bounds for a proportion.
A paper by Newcombe which compares several types of confidence intervals for a single proportion.
A paper by Brown/Cai/DasGupta regarding interval estimation for a single proportion.
A paper by Agresti & Coull regarding interval estimation for a single proportion.
A website provided by Dr Newcombe with some interesting information. The first Excel document has a tool that lets you calculate a Wilson Interval for a proprtion if you're so inclined.
Section 6.1: Hypothesis Testing for a Population Mean, Known Variance (22 Nov.)
Section 6.3: Hypothesis Testing for a Population Mean, Unknown Variance (2 Dec.)
Section 6.4: Hypothesis Testing for a Population Proportion (4 Dec.)