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Nomogram and Yates's correction for continuity

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Nomogram and Yates's correction for continuity

Nomogram vs. Yates's correction for continuity

A nomogram (from Greek νόμος nomos, "law" and γραμμή grammē, "line"), also called a nomograph, alignment chart or abaque, is a graphical calculating device, a two-dimensional diagram designed to allow the approximate graphical computation of a mathematical function. In statistics, Yates's correction for continuity (or Yates's chi-squared test) is used in certain situations when testing for independence in a contingency table.

Similarities between Nomogram and Yates's correction for continuity

Nomogram and Yates's correction for continuity have 2 things in common (in Unionpedia): Pearson's chi-squared test, Type I and type II errors.

Pearson's chi-squared test

Pearson's chi-squared test (χ) is a statistical test applied to sets of categorical data to evaluate how likely it is that any observed difference between the sets arose by chance.

Nomogram and Pearson's chi-squared test · Pearson's chi-squared test and Yates's correction for continuity · See more »

Type I and type II errors

In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding), while a type II error is failing to reject a false null hypothesis (also known as a "false negative" finding).

Nomogram and Type I and type II errors · Type I and type II errors and Yates's correction for continuity · See more »

The list above answers the following questions

Nomogram and Yates's correction for continuity Comparison

Nomogram has 40 relations, while Yates's correction for continuity has 15. As they have in common 2, the Jaccard index is 3.64% = 2 / (40 + 15).

References

This article shows the relationship between Nomogram and Yates's correction for continuity. To access each article from which the information was extracted, please visit:

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