Statistics Methods of PPE II

Vrije Universiteit Amsterdam (VU)

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ANOVA, simple and multiple regression, correlation, hypotheses on proportion
  • ANOVA, simple and multiple regression, correlation, hypotheses on proportion

  • Samenvatting • 10 pagina's • 2020
  • Ook in voordeelbundel
  • 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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Data, Summarising Data, Basic Probability, Probability Distribution, Sampling, the CLT and the Standard Error, mu: Estimates, Confidence Intervals and Tests
  • Data, Summarising Data, Basic Probability, Probability Distribution, Sampling, the CLT and the Standard Error, mu: Estimates, Confidence Intervals and Tests

  • Samenvatting • 6 pagina's • 2020
  • Ook in voordeelbundel
  • 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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Contingency tables, equal and unequal proportions, power and design   final overview
  • Contingency tables, equal and unequal proportions, power and design final overview

  • Samenvatting • 7 pagina's • 2020
  • Ook in voordeelbundel
  • Lecture 10-11-12 Contingency tables, power and design, regression VS ANOVA, standardising data, final overview of the different distribution
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Hypotheses, the one sample t-test, sigma squared, median non-parametric tests, two mus comparison, two sigma squared comparison (F-test and Levene's test)
  • Hypotheses, the one sample t-test, sigma squared, median non-parametric tests, two mus comparison, two sigma squared comparison (F-test and Levene's test)

  • Samenvatting • 7 pagina's • 2020
  • Ook in voordeelbundel
  • 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 Wilcoxon test), estimating variance (chi-squared distribution), two variances comparison (F-test), and Levene's test
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