Summer 2014, MW 5:30–8:20, room 293B (Stan Brown)
Please bookmark this page and check back here at least once a week,
whenever you miss a class, or when new material is announced in
All news through
Latest email to the class:
Grades have been posted. Access them through
myTC3/myInfo. For your exam score, and a detailed computation of your
grade, email me from your TC3
The Student Responses to Course Debriefing are now available also.
The handouts are marked with helpful icons.
A full explanation of the icons
is available, and most browsers will also show a “tool
tip” if you just hover your mouse over the icon.
Most of these “handouts” won’t actually be handed out. You
can read them on the Web and decide whether you want a printed
If you see some old revision dates, don’t worry: some of
them don’t need to change much from one semester to the
Throughout the Course
Chapter 1: Statistics!
Chapter 2: Graphing Your Data
- The Joy of Stats video: Hans Rosling shows lots of great ways to present data (accessed 2012-03-25). Don’t miss the segment “200 Countries, 200 Years, 4 Minutes”, also available separately (accessed 2012-03-25).
- just for fun: self-referential graphs
- The Best Stats You’ve Ever Seen video: Hans Rosling uses descriptive stats to explode the myth of First World and Third World (accessed 2012-03-25).
- MATH200A Program part 1 can be used to make histograms.
- ticalc.org has five programs to make pie charts. Though I haven't evaluated them in depth, PIEGRAPH.ZIP looks most interesting based on the screen shots.
- STEMLEAF.ZIP (1 KB) is a TI-83/84 program that makes stemplots
Chapter 3: Numbers about Numbers
Chapter 4: Linked Variables
- How do we know there’s one best line? How does
the calculator know what it is? See
Least Squares — the Gory Details.
- If correlation is not Causation,
how do we know that smoking causes cancer? Steve Simon tells you.
- Under Chapter 12 are several more inferences you can make about correlation and regression.
Chapter 5: Probability
Chapter 6: Discrete Probability Models
Chapter 7: Normal Distributions
Chapter 8: How Samples Vary
- The Behavior of the Sample Mean
by Gerald Dallal — pictures show how sample means are distributed and why that distribution is different from the shape of the population.
Chapter 9: Estimating Population Parameters
Chapter 10: Hypothesis Tests
Chapter 11: Inference from Two Samples
- Number Needed to Treat by Steve Simon—
statistical significance and practical significance, with examples
from medical studies
Chapter 12: Tests on Counted Data
These are not part of the course syllabus, but are included for those who would like to learn more.
to home page
This page is used in instruction at
Tompkins Cortland Community College in Dryden, New
York; it’s not an official statement of the College. Please visit
to report errors or ask to copy it.
For updates and new info, go to