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Related Concept Videos

Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

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The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
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Inequalities01:28

Inequalities

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Inequalities express mathematical relationships where two values are not equal and are compared using symbols such as <, >, ≤, or ≥. These expressions define a range of possible solutions rather than a single value. Interval notation provides a concise way to express these solution sets, especially when the variable spans a continuous range. An open interval, written as (a, b), excludes the endpoints, while a closed interval [a, b] includes them. There are also half-open...
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Absolute Value Inequalities01:23

Absolute Value Inequalities

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The absolute value is a mathematical tool that represents the distance of a number from zero on the number line, regardless of its sign. In the context of inequalities, absolute value expressions help define a range of permissible values or boundaries for a variable. These inequalities are commonly used in scientific modeling and data interpretation, where variability within or beyond a certain threshold must be captured precisely.An absolute value inequality of the form ∣x∣ ≤...
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Solving Inequalities Graphically01:24

Solving Inequalities Graphically

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Solving inequalities graphically involves using a visual approach to determine where a mathematical expression meets a specific condition, such as being greater than or less than another value. By examining the position of a graph relative to the x-axis or another graph, it becomes possible to identify the range of x-values that satisfy the inequality. This method provides an intuitive understanding of solution intervals by showing where the inequality holds true.Graphical solutions to...
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Application of Nonlinear Inequalities01:29

Application of Nonlinear Inequalities

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A nonlinear inequality describes a comparison involving an expression that curves or behaves more complexly than a straight line. These inequalities often appear in forms that include squares, products, or variables in the denominator.To solve such an inequality, one starts by rewriting it so that zero appears on one side. For example, the inequality:  can be factored as: This form makes it easier to identify the values that cause the expression to equal zero. In this case, the...
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Global Climate Change01:50

Global Climate Change

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Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
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Related Experiment Video

Updated: Feb 2, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
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Measuring global health inequity.

Daniel D Reidpath1, Pascale Allotey

  • 1Centre for Public Health Research, Brunel University, Uxbridge, UK. daniel.reidpath@brunel.ac.uk.

International Journal for Equity in Health
|November 1, 2007
PubMed
Summary

Global health inequity is significantly worse than previously measured. A new analysis reveals disparities are four times greater in the poorest regions, impacting policy decisions.

Area of Science:

  • Global Health
  • Health Economics
  • Biostatistics

Background:

  • Equity is central to global health, but health inequity is often conflated with health equality.
  • Current measures of health inequality fail to account for the compounded disadvantages faced by economically deprived populations with poor health.

Purpose of the Study:

  • To differentiate between health inequality and health inequity in global health metrics.
  • To introduce a novel measure for assessing global health inequity.

Main Methods:

  • Utilized global health data from the World Health Organization's 14 mortality sub-regions.
  • Contrasted a standard measure of global health inequality (Pietra Ratio decomposition) with a new health inequity measure.
  • Weighted inequality data by regional economic capacity (GNP per capita) for the inequity measure.

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Main Results:

  • The least healthy global sub-region appeared four times worse off using the health inequity analysis compared to a health inequality analysis.
  • Conversely, the healthiest sub-region appeared four times better off under the inequity measure.
  • The analysis demonstrates that health inequity in poorer regions is substantially more severe than indicated by simple inequality metrics.

Conclusions:

  • Measuring health inequity, rather than solely health inequality, provides a more accurate magnitude of disparity.
  • This refined measurement can inform future economic and health policy decisions for better resource allocation and targeted interventions.