TC3 → Stan Brown → Statistics → Sum14 ME58

# MATH200/ME58, Statistics

Summer 2014, MW 5:30–8:20, room 293B (Stan Brown)

Welcome! 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 class.

## What’s New

All news through 25 Jul Latest email to the class: 25 Jul

The Student Responses to Course Debriefing are now available also.

## Handouts

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 copy. If you see some old revision dates, don’t worry: some of them don’t need to change much from one semester to the next.

### Chapter 1: Statistics!

#### Optional extras

• Excel and your calculator generate pseudo-random numbers, but Random.org has lots of true random number generators, including numbers, coin flips, and dice rolls.
• In class we mentioned the 1936 fiasco of a presidential election poll. Read about it at Classic Polling Surprises (accessed 2012-03-25) and Introduction to Polling (accessed 2012-03-25).

The original Literary Digest article can be found at Landon in a Landslide: The Poll that Changed Polling (accessed 2012-03-25).

• If observational studies can’t show that A causes B, how do we know that smoking causes lung cancer? See Causation by Steve Simon.
• Alternating Treatments by Steve Simon gives lots of examples why you need to randomize your samples.
• What’s wrong with surveys where respondents select themselves? See Web Polls by Steve Simon.

### Chapter 2: Graphing Your Data

#### Optional extras

• 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

#### Optional extras

• 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 8: How Samples Vary

#### Optional extras

• 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 11: Inference from Two Samples

#### Optional extras

• Number Needed to Treat by Steve Simon— statistical significance and practical significance, with examples from medical studies

### Chapter 12: Tests on Counted Data

#### Extra cases

These are not part of the course syllabus, but are included for those who would like to learn more.

### General Math

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For updates and new info, go to http://www.tc3.edu/instruct/sbrown/stat14b/