TI-83/84 TroubleshootingStatistics students in any instructor’s section will find useful material in the handouts. If you’re taking this course from Stan Brown, please select your section to find specific class materials:
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TI-83/84 Troubleshooting
UCLA Statistics Case Studies — real-life applications you can work yourself (accessed 2012-03-25) On-line statistics courses:
Excel may not be the best choice for statistical computations, espeially Excel 2007 and below:Excel 2010 has some new 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) Random.org
has lots of true random number generators, including numbers, coin
flips, and dice rolls.
Read about the Literary Digest polling fiasco for the 1936
presidential election 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).
Causation by Steve Simon. Alternating Treatments by Steve Simon
gives lots of examples why you need to randomize your samples. Web Polls by Steve Simon. 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). 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 Charles Minard’s famous graph of
Napoleon’s Moscow campaign (accessed 2012-03-25)
Sample Statistics on TI-83/84 —
mean, median, standard deviation, variance, and five-number
summary MATH200A Program part 2 makes box-whisker plots.
Empirical Rule Practice Problems
with solutions
what to do about Outliers, by Steve Simon What is a standard deviation?
by Steve Simon, with pictures and interpretation Empirical Relation Between Mean, Median And Mode (accessed 2012-03-25)
A more technical version is Mean, Median, and Skew: Correcting a Textbook Rule (accessed 2012-03-25).
Degrees of Freedom and Degrees of Freedom Part 2, by Steve Simon,
tell why we divide by n−1, not n, to compute standard deviation.
Defining Quartiles (accessed 2012-03-25). Measures of Shape: Skewness and Kurtosis MATH200B Program part 1 computes skewness and kurtosis Scatter Plot, Correlation, and Regression on TI-83/84
Finding ŷ from a Regression on TI-83/84
Causation,
how do we know that smoking causes cancer? Steve Simon tells you. R-squared mean? Least Squares — the Gory Details —
Where do those formulas come from? MATH200B Program part 6 for inferences about linear
correlation Under Chapter 12 are several more inferences you can make about correlation and regression. False positives and the war on terror, by Sam Savage and Howard Wainer:
False Positives Calculator
and
explanation (PDF) (accessed 2012-03-25) For more about the first-digit phenomenon, see
Benford’s Law at Mathworld (accessed 2012-03-25). One way it’s used to detect cheating is at Following Benford’s Law, or Looking Out for No. 1 (accessed 2012-03-25). MATH200A Program part 3 computes binomial probability.
MATH200A Program part 1 for histograms of the general discrete PD and
MATH200A Program part 1(5) for histograms of the binomial PD Normal Calculations on TI-83/84 or TI-89 section 1 MATH200A Program part 4 determines whether a distribution is normal.
Practice quiz and Solutions What is a normal distribution? by Steve Simon gives an overview with diagrams. Viewer’s Guide
to Against All Odds Part 18, “The Sample Mean and
Control Charts” (some classes) The Behavior of the Sample Mean (accessed 2012-03-25) — pictures show how sample means are distributed and why that distribution is different from the shape of the population. MATH200A Program part 5 computes sample size.
Practice quiz and Solutions
Difference of Two Proportions in Statistics (accessed 2012-03-25) answers this question for tests of one proportion as well. 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 Inferences about One Population Standard Deviation
or MATH200B Program part 5.
Confidence Interval with Zero Events by Steve Simon
gives the “rule of three” for calculating a confidence interval when np̂(1−p̂) = 0. How Big a Sample Do I Need? explains
how to find necessary sample size by formula, for those who want
to know how the calculations are done. Instead of looking up t-values in a
table, you can use a program to find them: MATH200B Program part 3 Triage: Which Inferential Stats Case Should I Use? In-class exercise (some sections):
M&Ms Lab: Inferences for One Population
Is Statistics Hard? by Gerald Dallal (accessed 2012-03-25)
and
Logic of Hypothesis Testing, part of HyperStat (accessed 2012-03-25). Sifting the evidence — what‘s wrong with significance tests? by Sterne and Smith (accessed 2012-03-25). Why Most Published Research Findings Are False by John Ioannidis (accessed 2012-03-25). If you find the article heavy going, just scroll down to read the example in Box 1 and then the corollaries that follow. You can also do hypothesis tests about σ, the
population s.d.: see MATH200B Program part 5 or Inferences about One Population Standard Deviation. List Operations for Paired t Test on TI-83/84 MATH200A Program part 5 computes sample size.
Number Needed to Treat by Steve Simon—
statistical significance and practical significance, with examples
from medical studies If you don’t have MATH200A Program part 6, use Testing Goodness of Fit on TI-83/84.
If you don’t have MATH200A Program part 7 use 
χ²-Test on TI-83/84.
Chi2 2-way.) Chi-Square in Randomized Experiments: the Physicians' Health Study (accessed 2012-03-25) — scroll down to that section
Study of the Therapeutic Effects of Intercessory Prayer
Confidence Intervals for Goodness of Fit, with Excel
workbooks Extra casesThese are not part of the course syllablus, 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 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 Practice Problems for Statistics and
Solutions to Practice Problems for StatisticsSullivan’s Fundamentals of Statistics 3/e was the textbook through Spring 2013. Beginning Summer 2013, it was replaced by the free eTextbook. Some materials related to Sullivan’s book are retained here for historical interest:
Practice quizzes and solutions:
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