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Numerical and graphical data summaries. Probability: Sample spaces, events, conditional probability, independence, Bayes theorem. Discrete random variables, mean and variance. Binomial and Poisson. Continuous random variables. The Normal model. Sampling distribution of the mean. Confidence intervals and hypothesis testing: one and two samples, paired samples. Confidence intervals and hypothesis testing for proportions. Correlation and regression. Inference for slope. Computation using statistical software.
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