Levene's test

Related lectures (10)

Introduces the t-test for assessing categorical effects on quantitative outcomes, covering hypothesis testing, assumptions, and alternative tests.

Discusses methods for identifying differentially expressed genes in genomic data analysis.

Explores paired tests using a shoe sole experiment, showing significant differences between materials A and B.

Covers statistical modeling, estimation, CLT, confidence intervals, and hypothesis testing steps with practical examples.

Explores ANOVA, factorial experiments, and model evaluation techniques.

Explores confidence intervals, T-test, and hypothesis testing, including assumptions and critical regions.

Covers Analysis of Variance (ANOVA) for assessing categorical variable effects on quantitative outcomes.

Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.

Explores hypothesis testing methodology using t-tests and the randomization test.

Explains hypothesis testing using T-test and Chi-square test to compare means and assess independence of variables.

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