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Making Sense of the Two-Sample T-Test: Supercharge Your Hypotheses Tests

The two-sample t-test is one of the most commonly used hypothesis tests in Six Sigma work. It is applied to compare the average difference between two groups. You use it to determine if the difference ...
Investopedia

Two-Tailed Test: Definition, Examples, and Importance in Statistics

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Simon Fraser University

Two-Sample Test for Proportions

In the Two-Sample Test for Proportions task, you can determine whether two probabilities are the same. The data analyzed in this example are taken from a study measuring the accuracy of two computer ...
JSTOR Daily

Two-sample testing in high dimensions

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 79, No. 1 (JANUARY 2017), pp. 225-246 (22 pages) We propose new methodology for two-sample testing in high ...
JSTOR Daily

Hypothesis Testing When the Sample Size is Treated as a Random Variable

In the Neyman-Pearson theory of hypothesis testing it is customary to calculate significance levels and power functions on the assumption that the sample size is fixed. The main purpose of this paper ...
technologynetworks

Mann-Whitney U Test: Assumptions and Example

The Mann-Whitney U Test, also known as the Wilcoxon Rank Sum Test, is a non-parametric statistical test used to compare two samples or groups. The Mann-Whitney U Test assesses whether two sampled ...