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# [PROPOSAL] DDO Statistics Summer Camp

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7/7/2016 4:27:41 PM Posted: 3 months ago DDO loves throwing around statistics and arguing over them. Conflicts can sometimes arise when members don't agree on how a particular stat is to be interpreted, how much it can be trusted, or what implications it has. In response to this, I suggest a DDO Statistics Camp.
Each week, we'll write up a short article on a particular aspect of statistics and how it can be applied to discussions and debates that DDO users are passionate about. I suggest dividing this into several modules, roughly arranged as follows: Module I: Probability Week 1: Frequentist and Bayesian interpretations of probability, probability axioms, relationship between probability and statistics, odds and odds ratio, relative risk, the Gambler's fallacy. Week 2: Conditional probability, independence, Bayes' theorem, the confusion of the inverse, the prosecutor's fallacy, the defence attorney's fallacy, sensitivity and specificity. Module II: Variables Week 3: Levels of measurement, the random variable, probability distributions, measures of central tendency, measures of dispersion, skewness and kurtosis, outliers, presentation of data Week 4: Major probability distributions and densities: The Bernoulli, binomial, Poisson, hypergeometric, exponential and normal distributions Module III: Inference Week 5: Random sampling, sampling methods, non-probability sampling and its problems, sampling distributions: the chi-square, Student's t and F-distributions Week 6: Point estimation: minimum-variance unbiased estimator, Cramer-Rao lower bound and Fisher information; interval estimation: confidence intervals based on the Z-, chi-square and Student's t-distributions Week 7: The Neyman-Pearson paradigm of hypothesis testing: Null and alternative hypotheses, test statistic, rejection region, p-value, statistical significance vs. practical significance. Module IV: Relationships Week 8: One-sample and two-sample tests, randomisation methods, observational experiments, confounding variables. Week 9: Pearson and Spearman correlation coefficients, simple linear regression, linear trend model, chi-square goodness-of-fit test, contingency tables, chi-square test for homogeneity, more on confounding variables: Simpson's paradox. Although we will cover the mathematical concepts associated with statistics, we'll skip the gritty details for members who dislike maths. Notable omissions (that would normally be covered in a college introductory course in statistics) include: -Mathematical details of pmfs, pdfs, cdfs and mgfs -Functions of random variables -Proofs -Finding point estimators If possible, we could licence the final product under a CC-BY-SA licence and publish it somewhere else, as well. If you are interested in reading the articles or writing for the Camp, please leave a comment below. We'll need enough members who are willing to devote the time to write, as well as a strong enough demand. Other comments or suggestions are always appreciated as well. :) Soo... anyone with me? :P The thing is, I hate relativism. I hate relativism more than I hate everything else, excepting, maybe, fibreglass powerboats... What it overlooks, to put it briefly and crudely, is the fixed structure of human nature. - Jerry Fodor Don't be a stat cynic: http://www.debate.org... Response to conservative views on deforestation: http://www.debate.org... Topics I'd like to debate (not debating ATM): http://tinyurl.com... |

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7/8/2016 2:08:29 AM Posted: 3 months ago At 7/7/2016 4:27:41 PM, Diqiucun_Cunmin wrote: I will read them. Definitely. I dunno if I'm good enough at stats to write though. "primal man had the habit, when he came into contact with fire, of satisfying the infantile desire connected with it, by putting it out with a stream of his urine... Putting out the fire by micturating was therefore a kind of sexual act with a male, an enjoyment of sexual potency in a homosexual competition." |