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Related Concept Videos

P-value01:10

P-value

P-value is one of the most crucial concepts in statistics.
P-value stands for the probability value.  P-value is the probability that, if the null hypothesis is true, the results from another randomly selected sample will be as extreme or more extreme as the results obtained from the given sample.
A large P-value calculated from the data indicates to  not reject the null hypothesis. But a higher P-value does not mean that the null hypothesis is true. The smaller the P-value, the more unlikely...
Critical Values01:31

Critical Values

A critical value is a definite value obtained from a particular probability distribution at a predecided confidence level (or a predecided significance level) for a given population parameter. The critical value provides demarcation that separates the sample statistics that are likely to occur from the ones that are unlikely to occur based on the given probability distribution and the population parameter to be estimated. The critical value for normal distribution is obtained from the z...
Professional Values01:29

Professional Values

Nurses are responsible for caring for patients during birth, death, illness, and healing. Professional values guide the decisions and actions that nurses make in their careers. If nurses know the decisions and actions to take, providing patients with exceptional care is possible.
The values that are the foundation of the nursing profession are altruism, autonomy, human dignity, and social justice.
First, altruism refers to the concern for the welfare and well-being of others without personal...
Statgraphics01:10

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
Quality Control01:05

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the test...

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Related Experiment Video

Updated: Jun 4, 2026

Profiling Ubiquitin and Ubiquitin-like Dependent Post-translational Modifications and Identification of Significant Alterations
10:26

Profiling Ubiquitin and Ubiquitin-like Dependent Post-translational Modifications and Identification of Significant Alterations

Published on: November 7, 2019

The value of certification.

Roberta Kaplow1

  • 1Emory University Hospital, 2184 Briarwood Bluff NE, Atlanta, GA 30319, USA. roberta.kaplow@emoryhealthcare.org

AACN Advanced Critical Care
|February 8, 2011
PubMed
Summary
This summary is machine-generated.

Nursing specialty certification protects consumers by identifying competent nurses. This article explores the value of certification for patients, nurses, and employers.

Related Experiment Videos

Last Updated: Jun 4, 2026

Profiling Ubiquitin and Ubiquitin-like Dependent Post-translational Modifications and Identification of Significant Alterations
10:26

Profiling Ubiquitin and Ubiquitin-like Dependent Post-translational Modifications and Identification of Significant Alterations

Published on: November 7, 2019

Area of Science:

  • Nursing
  • Healthcare Administration
  • Professional Standards

Background:

  • The definition of nursing certification lacks consistency in existing literature.
  • Nursing specialty certification programs aim to safeguard the public.
  • Existing research highlights benefits beyond patient and family well-being.

Purpose of the Study:

  • To elucidate the multifaceted value of nursing specialty certification.
  • To examine certification's impact from patient, nurse, and employer viewpoints.

Main Methods:

  • Literature review of nursing certification.
  • Analysis of stakeholder perspectives (patient, family, nurse, employer).

Main Results:

  • Certification aids consumers in identifying qualified nursing professionals.
  • Benefits extend to nurses (professional development) and employers (quality assurance).
  • A consistent definition of certification remains elusive.

Conclusions:

  • Nursing specialty certification offers significant value to patients, nurses, and employers.
  • Standardizing the definition of certification could enhance its impact.
  • Further research is needed to fully understand and leverage certification benefits.