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Interpreting R Charts01:22

Interpreting R Charts

349
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
349
Interpreting Run Charts01:25

Interpreting Run Charts

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Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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Magnetic Susceptibility and Permeability01:31

Magnetic Susceptibility and Permeability

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In linear magnetic materials, like paramagnets and diamagnets, magnetization is proportional to the magnetic field intensity. The constant of proportionality, a dimensionless number, is called magnetic susceptibility. The value of the susceptibility depends on the type of material.
When diamagnetic materials are placed under an external magnetic field, the moments opposite to the field are induced. Hence, the susceptibility for diamagnets has a minimal negative value of 10-5–10-6. Since...
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Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

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An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
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Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

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A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
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Interpreting X̄ Charts01:13

Interpreting X̄ Charts

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Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line...
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Related Experiment Video

Updated: Jan 26, 2026

Quantitative Examination of Antibiotic Susceptibility of Neisseria gonorrhoeae Aggregates Using ATP-utilization Commercial Assays and Live/Dead Staining
08:04

Quantitative Examination of Antibiotic Susceptibility of Neisseria gonorrhoeae Aggregates Using ATP-utilization Commercial Assays and Live/Dead Staining

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Rationale for a Neisseria gonorrhoeae Susceptible-only Interpretive Breakpoint for Azithromycin.

Ellen N Kersh1, Vanessa Allen2, Eric Ransom3

  • 1Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.

Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America
|April 10, 2019
PubMed
Summary

The Clinical and Laboratory Standards Institute (CLSI) established a new azithromycin (AZI) susceptibility breakpoint for Neisseria gonorrhoeae. This critical development aids in interpreting antimicrobial susceptibility testing (AST) for gonorrhea treatment.

Keywords:
Neisseria gonorrhoeaeantimicrobial resistancebreakpointsinterpretive criteria

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Area of Science:

  • Microbiology
  • Antimicrobial Resistance
  • Clinical Diagnostics

Background:

  • Azithromycin (AZI) is recommended with ceftriaxone (CRO) for uncomplicated gonorrhea treatment in the US.
  • Lack of established AZI susceptibility breakpoints by FDA or CLSI hinders accurate antimicrobial susceptibility testing (AST).
  • Rising gonorrhea cases in the US underscore the urgent need for standardized AST interpretation.

Purpose of the Study:

  • To summarize the rationale and data reviewed by CLSI for establishing an AZI susceptibility breakpoint.
  • To address the need for standardized interpretation of AZI AST for gonococcal infections.

Main Methods:

  • Review of rationale and data by the CLSI in June 2018.
  • Consideration of epidemiological cutoff value (ECV) as a breakpoint.

Main Results:

  • CLSI established a susceptible-only interpretive breakpoint for AZI at a minimum inhibitory concentration (MIC) of ≤1 µg/mL.
  • This breakpoint aligns with the ECV and assumes AZI is used in combination with ceftriaxone.
  • The new breakpoint is now the recognized standard for defining AZI susceptibility in gonococcal infections.

Conclusions:

  • The established breakpoint will improve patient care, surveillance, and facilitate development of modernized AST.
  • This aligns with European Committee on Antimicrobial Susceptibility Testing (EUCAST) guidance, removing differing AZI breakpoints.
  • The CLSI breakpoint provides a crucial standard for guiding gonorrhea treatment decisions.