Search for tag: "test"

4.7 Survey, questionnaire and test | Quantitative methods | Measurement | UvA

This video explains the differences between surveys, questionnaires and tests. These are very popular measurement instruments in the social sciences. You learn about the important characteristics of…

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7.7 Example | Basic Statistics | Significance Tests | UvA

In this video Matthijs uses an example to discuss the important topics of this module. He shows how to test three hypotheses for a mean.

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7.6 Type I and Type II errors | Basic Statistics | Significance Tests | UvA

This video explains type I and type II errors that can occur in significance testing. Matthijs explains what statistical power (the power of a hypothesis test) is and why it is important.

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7.5 Significance test and confidence interval | Basic Statistics | Significance Tests | UvA

This video shows you that two methods of inferential statistics, confidence intervals and significance tests, are closely related.

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7.4 Step-by-step plan for hypothesis testing | Basic Statistics | Significance Tests | UvA

In this video Matthijs guides you through a step-by-step plan that you can use for hypothesis testing (significance testing) for means and proportions.

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7.3 Hypothesis test for means | Basic Statistics | Significance Tests | UvA

In this video Matthijs explains how to do a hypothesis test (significance test) for means.

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7.2 Hypothesis test for proportions | Basic Statistics | Significance Tests | UvA

In this video Matthijs explains how to do a hypothesis test (or significance test) for proportions.

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7.1 Hypotheses | Basic Statistics | Significance Tests | UvA

This video introduces you to statistical hypotheses, that form the main ingredient for significance tests. Matthijs explains the logic of null-hypothesis testing. This course consists of…

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6.7 The runs test | Inferential Statistics | Non-parametric tests | UvA

This video explains how the runs test works, which you can use to answer the question whether a sequence of categorical or numerical data is random based on the sequence of the individual labels.

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6.5 Several samples - Kruskall-Wallis test | Inferential Statistics | Non-parametric tests | UvA

This video explains how the Kruskal-Wallis test works and what it is used for. This test is the non-parametric counterpart to the one-way analysis of variance.

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6.4 Two samples - Wilcoxon-Mann-Whitney test | Inferential Statistics | Non-parametric tests | UvA

This video teaches you how to use the Wilcoxon/Mann-Whitney test for two samples.

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6.3 One sample - Wilcoxon signed rank test | Inferential Statistics | Non-parametric tests | UvA

This video explains how the Wilcoxon signed rank test works. You use this test when you want to compare a sample average to a theoretical value, but you can't use parametric tests because its…

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6.2 Sign test | Inferential Statistics | Non-parametric tests | UvA

This video explains how a sign test works and where it can be applied. The sign test offers a non-parametric alternative to a one-sample t-test and is one of the simplest non-parametric tests.

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5.3 One-way ANOVA - Post-hoc t-tests | Inferential Statistics | Analysis of variance | UvA

In this video we see how to follow up a significant f-test in one-way analysis of variance with pairwise comparisons of group means, using pairwise t-tests or confidence intervals. Pairwise…

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3.6 Testing the regression model | Inferential Statistics | Simple regression | UvA

In this video you learn how to perform a statistical test to see whether the predictor and the response variable are likely to be related in the population. You also learn how to calculate the…

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2.6 Fisher's exact test | Inferential Statistics | Categorical association | UvA

When expected frequencies in a contingency table are small, you can not use a Chi-squared test. However, you can use a test that is designed for small samples: Fisher's exact test. This video…

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