## What is equivalence testing?

Tests that allow us to conclude equivalence (e.g. two process average are equal) with a specified confidence level are called equivalence tests. When using equivalence tests, we must specify how large of a difference between the group averages would represent a practically important difference.

### What is an equivalence test in statistics?

From Wikipedia, the free encyclopedia. Equivalence tests are a variation of hypothesis tests used to draw statistical inferences from observed data. In equivalence tests, the null hypothesis is defined as an effect large enough to be deemed interesting, specified by an equivalence bound.

#### How do you report an equivalence test?

Consequently, when reporting an equivalence test, it suffices to report the one-sided test with the smaller test statistic (e.g., t) and thus the larger p value. A conclusion of statistical equivalence is warranted when the larger of the two p values is smaller than alpha.

**What is Tost analysis?**

The TOST (two one-sided test) is a test of equivalence that is based on the classical t test used to test the hypothesis of equality between two means. So we will have two samples, a theoretical difference between the means as well as a range within which we can say that the sample means are equivalent.

**What is equivalence testing software?**

Equivalence Class Testing, which is also known as Equivalence Class Partitioning (ECP) and Equivalence Partitioning, is an important software testing technique used by the team of testers for grouping and partitioning of the test input data, which is then used for the purpose of testing the software product into a …

## What does equivalence mean?

1a : the state or property of being equivalent. b : the relation holding between two statements if they are either both true or both false so that to affirm one and to deny the other would result in a contradiction.

### What is equivalence limit?

Defining Equivalence Limits: Your Call The lower equivalence limit (LEL) defines your lower limit of acceptability for the difference. The upper equivalence limit (UEL) defines your upper limit of acceptability for the difference. Any difference from the mean that falls within this zone is considered unimportant.

#### What is equivalence testing in software?

Equivalence partitioning or equivalence class partitioning (ECP) is a software testing technique that divides the input data of a software unit into partitions of equivalent data from which test cases can be derived. In principle, test cases are designed to cover each partition at least once.

**What is equivalence study?**

In an equivalence trial, the statistical test aims at showing that two treatments are not too different in characteristics, where “not too different” is defined in a clinical manner. Finally, in a non-inferiority trial, the aim is to show that an experimental treatment is not (much) worse than a standard treatment.

**Which is the best definition of an equivalence test?**

Equivalence tests are a variation of hypothesis tests used to draw statistical inferences from observed data.

## How is equivalence partitioning used in software testing?

Unsourced material may be challenged and removed. Equivalence partitioning or equivalence class partitioning ( ECP) is a software testing technique that divides the input data of a software unit into partitions of equivalent data from which test cases can be derived.

### Which is the best definition of bioequivalence?

Bioequivalence. Pharmaceutical equivalence implies the same amount of the same active substance (s), in the same dosage form, for the same route of administration and meeting the same or comparable standards.”.

#### How is the p value of an equivalence test reported?

Since an equivalence test is tantamount to applying two traditional one-sided tests, a p-value can be reported as the larger of the two p-values of each of the one-sided tests. Like in traditional testing, if this p-value is less than alpha, then the research hypothesis (of equivalence) is established.