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  • An online calculator designed to give an estimated sample size that would be needed under specific conditions. This is used only for simple random samples.
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  • Article that explains why comparing statistical significance, sample size and expected effects are important before constructing and experiment.
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  • Resource providing information about: computation of the sample size and the assumptions that must be made to do so. Several examples are given with different conditions in each, and a table showing minimum sample sizes for a two-sided test.
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  • A resource providing information about what the sample size is, what factors the sample size depends on, and how it can be determined,
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  • Powerpoint explaining what power is and how power and sample size are related to one another.
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  • Document (pdf) illustrating a test of normality using an Anderson-Darling test in MINITAB and a test of equality of variances with an F-test in EXCEL.
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  • This is a complete lesson module (including example problems with answers to selected problems) for the purpose of enabling students to: 1) Provide examples demonstrating how the margin of error, effect size, and variability of the outcome affect sample size computations. 2) Compute the sample size required to estimate population parameters with precision. 3) Interpret statistical power in tests of hypothesis. 4) Compute the sample size required to ensure high power when hypothesis testing.
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  • A poem to illustrate the dependence between trials when sampling is without replacement. To set this poem up in the classroom, you might ask the students questions like: "If I want to put the Supreme Court Justices in a random order, I can pick one at a time without replacement. Before I pick the first Justice, do I know who it's going to be? Before I pick the last Justice, do I know who it's going to be?" The poem was written in 2017 by Larry Lesser from The University of Texas at El Paso.
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  • A poem to develop an understanding of permutations. A question like "Why is the word importunate used in a poem about a permutation?" will help the conversation. The poem was written by Larry Lesser from The University of Texas at El Paso in 2017.
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  • A game to help students learn to visualize the relationship between a scatterplot and the associated correlation coefficient. The Correlation Guessing Game provides panels of four scatterplots and challenges you to match them with four potential values of Pearson's correlation. The game is offered by Wiley Publishing as an online supplement to the introductory statistics book by Prem Mann. The game is a Flash version of a popular game originally created in the 1990's by John Marden at University of Illinois Urbana-Champaign.
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