First-year course of Statistics that covers all the main topics for a basic level. From probability theory, to the several distributions, from regression to ANOVA and much more. The summaries are simple to read and understand also thanks to the images which facilitate the comprehension
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Lecture 4-5-6: deeply described hypotheses focusing on significance level, rejection region, and the five-step procedure for hypotheses tests (with both rejection region and p-value). The summary also explains the one-sample t-test, two means comparison, median non-parametric tests (sign test and Wi...
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Add to cartLecture 4-5-6: deeply described hypotheses focusing on significance level, rejection region, and the five-step procedure for hypotheses tests (with both rejection region and p-value). The summary also explains the one-sample t-test, two means comparison, median non-parametric tests (sign test and Wi...
Lecture 1-2-3: introduction to statistics. - Data and summarising data - Probability theory and probability distribution - Sampling and the Central limit theorem - Normal and t-distributions
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Add to cartLecture 1-2-3: introduction to statistics. - Data and summarising data - Probability theory and probability distribution - Sampling and the Central limit theorem - Normal and t-distributions
Lecture 7-8-9 This summary deeply explains ANOVA, simple and multiple regression analysis, the correlation coefficient and testing correlation, the hypotheses on proportion
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Add to cartLecture 7-8-9 This summary deeply explains ANOVA, simple and multiple regression analysis, the correlation coefficient and testing correlation, the hypotheses on proportion
Lecture 10-11-12 Contingency tables, power and design, regression VS ANOVA, standardising data, final overview of the different distribution
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Add to cartLecture 10-11-12 Contingency tables, power and design, regression VS ANOVA, standardising data, final overview of the different distribution
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