If your section is listed here, click the button for assignments, quiz solutions, and more. Otherwise, use the menu or browse this page for links to statistics content.

Spring 2015

section ME50
Fall 2014

section ME50
Summer 2014

section ME58

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- UCLA Statistics Case Studies — real-life applications you can work yourself (accessed 2014-12-28)
- On-line statistics courses:
- e-Handbook of Statistical Methods (accessed 2014-12-28) at NIST, aimed at science and engineering
- HyperStat Online Statistics Textbook (accessed 2014-12-28) by David Lane of Rice U (with cartoons!)
- Little Handbook of Statistical Practice (accessed 2014-12-28) by Gerald Dallal of Tufts U, with examples from nutrition and medicine

- Excel may not be the best choice for statistical computations, especially Excel 2007 and below:
- Problems with Excel by Julian Wells (includes several useful links)
- On the Accuracy of Statistical Procedures in Microsoft Excel 2007 by David Heiser
- The Accuracy of Statistical Distributions in Microsoft Excel 2007 by A. Talha Yalta

Excel 2010 added some statistics functions that may address the problem. I haven’t seen any definitive papers yet.

- Viewer’s Guide to Against All Odds Part 1, “What Is Statistics?” (for some sections)

- 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. - 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.

- The Joy of Stats video: Hans Rosling shows lots of great ways to present data (accessed 2014-12-28). Don’t miss the segment “200 Countries, 200 Years, 4 Minutes”, also available separately (accessed 2014-12-28).
- 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 2014-12-28).
- 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

- 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.

- extended examples of probability: Probability of Shared Birthdays, We the Jury ..., and Medical False Positives and False Negatives
- Application of false positives: Probability and the war on terror, by Sam Savage and Howard Wainer. A downloadable False Positives Calculator is included.
- A fascinating application of probability is Benford’s Law at Mathworld. One application is detecting cheating: Following Benford’s Law, or Looking Out for No. 1.

- What is a normal distribution? by Steve Simon gives an overview with diagrams. Near the bottom of the page there’s a downloadable spreadsheet that draws normal distributions.

- Sample Variability Lab (Roulette) (some classes)
- Viewer’s Guide to Against All Odds Part 18, “The Sample Mean and Control Charts” (some classes)

- 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.

- For more about finding necesary sample size, see How Big a Sample Do I Need?
- We don’t do it in this class, but if you want to know how to compute confidence intervals about σ, the population standard deviation, see MATH200B Program part 5 or Inferences about One Population Standard Deviation.
- Confidence Interval with Zero Events by Steve Simon gives the “rule of three” for calculating a confidence interval when you have too few successes and failures.

- M&Ms Lab: Inferences for One Population (some sections)

- Confidence Intervals for Goodness of Fit, with Excel workbooks

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

- Inferential Statistics Cases contains additional cases beyond the ones required for class.
- Inferences about Linear Correlation, with Excel workbook
- Inferences about Linear Regression, with Excel workbook
- Inferences about One Population Standard Deviation, with Excel workbook; there’s also a TI-83/84 procedure at MATH200B Program part 5
- All three of the above, and more, are included in MATH200B Program — Extra Statistics Utilities for TI-83/84 with a downloadable TI-83/84 program.
- One-Way ANOVA

- How to Succeed in Math includes Why is Math so Hard? | How to Study Math | How to Take a Math Test | How to Read a Math Book | How to Work a Math Problem
- Math Students’ FAQ

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