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Matched Pairs T Test

Definition

A matched pairs t test is a statistical method used to compare means between two related groups or conditions. It determines if there is a significant difference between paired observations by considering their differences and accounting for individual variation.

Analogy

Think about comparing your performance on two different exams - let's say math and science. Instead of just looking at your scores separately, you pair them up based on which exam was taken first or second. By using a matched pairs t test, you can determine if there is any significant difference in your performance between these two subjects.

Related terms

Paired Observations: Paired observations refer to sets of measurements or data points that are related or connected in some way. In a matched pairs t test, these observations are paired based on their relationship or similarity.

Null Hypothesis: The null hypothesis states that there is no significant difference between the means of the two groups being compared. It serves as the default assumption until evidence suggests otherwise.

P-value: The p-value is a measure of the strength of evidence against the null hypothesis. It represents the probability of obtaining results as extreme as those observed, assuming that the null hypothesis is true.