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Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

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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...
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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...
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  • 1Margaret (Betsy) Babb Kennedy is Professor of Nursing, Assistant Dean for Nontenure Track Faculty Affairs and Advancement, Vanderbilt University School of Nursing, 462 21st Ave South, Nashville, TN 37240 (betsy.kennedy@vanderbilt.edu). Suzanne McMurtry Baird is Nursing Director, Clinical Concepts in Obstetrics LLC, 101 Creekside Crossing, Suite 1700-136, Brentwood, TN 37027 (suzannebaird@clinicalconceptsinob.com).

AACN Advanced Critical Care
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PubMed
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No abstract available in PubMed .

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