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Related Concept Videos

Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

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A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
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Related Experiment Video

Updated: Dec 9, 2025

Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats
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Minimum retesting intervals in practice: 10 years experience.

Tim Lang1

  • 1Department of Clinical Biochemistry, University Hospital of North Durham, North Road, Durham, County Durham, DH1 5TW, UK.

Clinical Chemistry and Laboratory Medicine
|September 6, 2020
PubMed
Summary
This summary is machine-generated.

Minimum retesting intervals (MRI) help reduce unnecessary lab tests. Post-2011 recommendations saw a significant increase in identified inappropriate tests, leading to substantial cost savings and improved lab efficiency.

Keywords:
cost per testdemand managementharmonizationinappropriate testingminimum retesting intervals

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Area of Science:

  • Clinical Biochemistry
  • Laboratory Medicine
  • Healthcare Management

Background:

  • Minimum retesting intervals (MRI) are a key strategy for managing demand and reducing over-utilized laboratory tests.
  • Evidence-based recommendations for MRI use were published by the Association of Clinical Biochemistry and Laboratory Medicine (ACB) in 2011.

Purpose of the Study:

  • To review the implementation and impact of MRI between 2011 and 2020.
  • To compare the findings with data from the period 2000-2010.

Main Methods:

  • A comprehensive literature search identified studies reporting MRI use in test management.
  • Studies were categorized into pre-recommendation (2000-2010) and post-recommendation (2011-2020) periods.

Main Results:

  • The proportion of tests failing MRI increased from 4.6% (2000-2010) to 11.8% (2011-2020).
  • In the 2011-2020 period, 14.3% of identified inappropriate tests were cancelled, saving 2.9 million Euros.
  • Haemoglobin A1c was the most frequently rejected test, and 13 of 27 studies utilized ACB recommendations.

Conclusions:

  • MRI is an established, safe, and sustainable tool for managing inappropriate laboratory testing.
  • Evidence-based recommendations have facilitated global adoption of MRI, harmonizing laboratory practices.