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Related Concept Videos

Run Charts01:12

Run Charts

276
Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
276
The R Chart01:02

The R Chart

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In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
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Interpreting R Charts01:22

Interpreting R Charts

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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...
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Pareto Chart00:52

Pareto Chart

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A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
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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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The X̄ Chart00:58

The X̄ Chart

450
The  x̄ chart is a statistical tool for monitoring the means in a process.
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...
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Related Experiment Video

Updated: Jan 19, 2026

Run Charts
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Maintaining progress for the most beautiful chart in the world.

Simon I Hay1

  • 1Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Avenue, Suite 600 Seattle, WA, USA.

International Health
|September 19, 2019
PubMed
Summary

Global child mortality has significantly declined, yet geographic inequalities hinder the end of preventable child deaths by 2030. Further improvements are needed to save millions of young lives.

Keywords:
child mortalitydata visualizationglobal healthpublic health surveillance

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Area of Science:

  • Global Public Health
  • Pediatrics
  • Demography

Background:

  • Child mortality has seen a dramatic reduction globally over the last two decades.
  • Remarkable progress has been made in reducing deaths in children under five years of age.
  • Despite progress, significant geographic inequalities persist, preventing the achievement of global health goals.

Purpose of the Study:

  • To analyze the progress in reducing child mortality.
  • To identify challenges in ending preventable child deaths.
  • To discuss strategies for further reducing child mortality over the next decade.

Main Methods:

  • Review of global child mortality data from 2000 to 2017.
  • Analysis of geographic disparities in child survival rates.
  • Discussion of interventions and policies to accelerate progress.

Main Results:

  • Child deaths under five years of age were nearly halved between 2000 and 2017.
  • An estimated 44.6 million preventable child deaths are projected by 2030 due to persistent inequalities.
  • Geographic inequalities remain a primary barrier to eradicating preventable child mortality.

Conclusions:

  • Continued efforts are crucial to address geographic inequalities in child survival.
  • Accelerated interventions are necessary to meet the Sustainable Development Goal for child mortality.
  • Ending preventable child deaths requires a focused, equitable global health strategy.