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  • A cartoon for general use with discussions of election polls. Cartoon by John Landers (www.landers.co.uk) based on an idea from Steve MacEachern (The Ohio State University). Free to use in the classroom and on course web sites.
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  • A cartoon to teach about properties of the Uniform distribution. Cartoon by John Landers (www.landers.co.uk) based on an idea from Pat McCann (Franklin Universiity). Free to use in the classroom and on course web sites.
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    Average: 1 (1 vote)
  • A cartoon to teach about the Geometric distribution. Cartoon by John Landers (www.landers.co.uk) based on an idea from Pat McCann (Franklin Universiity). Free to use in the classroom and on course web sites.
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  • A cartoon to teach about the Beta distribution. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). The idea for a cartoon series on distributions came from Pat McCann (Franklin Universiity). Free to use in the classroom and on course web sites.
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    Average: 1 (1 vote)
  • Asked about the power of advertising in research surveys, most agree that it works, but not on them. A quote by British Journalist and author Eric Clark from his book "The Want Makers: Inside the World of Advertising", Penguin Books (1988) page 13.
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  • This applet relates the pdf of the Normal distribution to the cdf of the Normal distribution. The graph of the cdf is shown above with the pdf shown below. Click "Move" and the scroll bar will advance across the graph highlighting the area under the pdf in red. The z-score is shown as well as the probability less than z (F(z)) and the probability greater than z (1-F(z)).
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  • This online resource is intended to help students understand concepts from probability and statistics and covers many topics from introductory to advanced. You can follow the progression of the text, or you can click on a topic on the left. Key Words: Alpha Reliability; Analysis of Covariance (ANCOVA); Analysis of Variance (ANOVA); Bayesian Analysis; Bias; Binomial regression; Bonferroni adjustment; Bootstrapping; Categorical modeling; Central limit theorem; Chi-squared test; Clinical significance; Cluster analysis; Coefficient of variation; Confidence Intervals; Contingency Table; Controlled trial; Confounders; Correlation; Dimension reduction; Discriminant function analysis; Frequency; Normal; Poisson; Probability Distribution; Effect; Error; Factor Analysis; Goodness of Fit; Heteroscedasticity; Hypothesis Testing; Independence, Interactions; Kappa Coefficient; Latin Squares; Least Squares Means; Likert scales; Linear Regression; Logistic Regression; Multivariate ANOVA (MANOVA); Mixed Modeling; Multiple Linear Regression; Nonparametric models; Odds ratio; P Values; Path Analysis; Percentiles; Polynomial Regression; Power; PRESS; Probability; Relative Frequency; Repeated Measures; Sample Size; Sampling; Sensitivity; Stepwise regression; Structural equation modeling; T Test; Transformation; Validity.
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  • Song playfully celebrates Bayesian inference and includes various vocabulary such as coherence, prior, and exchangeable. May be sung to the tune of "Strangers in the Night" (Kaenpfert/Singleton/Snyder). Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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  • Song includes vocabulary from fitting models, including outliers and assumptions. May be sung to tune of "You've Got Your Models" (The Fortunes). Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
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  • This is the homepage for the Reserve Bank of Australia. Browse data by Alphabetical Index of Statistics, Statistics by Frequency of Publication, or Bulletin Statistical Tables.
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