Algebra level symbolic math

  • This resource explains margin of error using an example on presidential popularity polls.
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  • This resource gives 3 questions readers should ask when presented with data and why to ask them: Where did the data come from? Have the data been peer-reviewed? How were the data collected? This page also describes why readers should: be skeptical when dealing with comparisons, and be aware of numbers taken out of context.

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  • This resource discusses sample sizes and how they are chosen.
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  • This resource explains the t-distribution and hypothesis testing (informally) using an example on laptop quality.
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  • This day may possibly be my last: but the laws of probability, so true in general, so fallacious in particular, still allow about fifteen years. A quote of English historian Edward Gibbon (1737 - 1794). The quote was written in 1787 and was published after his death in "Miscellaneous works of Edward Gibbon, with memoirs of his life and writings composed by himself" edited by Lord John Seffield, 1796
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  • This website is compilation of data from sources such as the CIA World Factbook, UN, and OECD. You can generate maps and graphs to statistically compare and research Nations.

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  • This site contains links to journals on probability and statistics published around the world. "Some publishers require registration to browse abstracts. Others require a current subscription to the journal by you or your institution. Most browsable titles, abstracts and papers are only for the past year or so."
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  • This textbook for medical statistics covers many topics such as: Data display and summary; Mean and standard deviation; Populations and samples; Statements of probability and confidence intervals; Differences between means: type I and type II errors and power; Differences between percentages and paired alternatives; The t tests; The chi-squared tests; Exact probabilty test; Rank score tests; Correlation and regression; Survival analysis; Study design and choosing a statistical test.
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  • This page calculates probabilities for a Poisson distribution.

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  • This lesson poses a series of questions designed to challenge students' possible misconceptions of statistical inference and hypothesis testing. The lesson uses the statistical software, Fathom, and three datasets with information on the number of chips per canister distributed by a snack maker. The data can found at the relation address below.
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