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Related Concept Videos

What is Variation?01:14

What is Variation?

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Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
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Variation01:19

Variation

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An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
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Conservative Site-specific Recombination and Phase Variation02:53

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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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Coefficient of Variation01:10

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The coefficient of variation measures the dispersion of the data points or distribution around the mean. Using the coefficient of variation, we can compare two data series with drastically different means or different units of measurement. The coefficient of variation for a sample and a population is expressed as a percentage of the ratio of standard deviation to the mean.
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Bringing variation into sharp focus.

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    |July 27, 2018
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    Summary
    This summary is machine-generated.

    A report highlights significant improvements in elective care by reducing variation. This strategy offers a path to enhance National Health Service (NHS) productivity.

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    Area of Science:

    • Healthcare Management
    • Health Services Research
    • Medical Economics

    Background:

    • Variation in healthcare delivery impacts efficiency and patient outcomes.
    • The National Health Service (NHS) faces challenges in productivity and resource allocation.
    • Addressing unwarranted variation is a key strategic objective for healthcare systems.

    Purpose of the Study:

    • To identify potential gains in elective care through targeted interventions.
    • To explore the link between reducing variation and improving NHS productivity.
    • To present a strategy for optimizing healthcare delivery within the NHS.

    Main Methods:

    • Analysis of a report identifying key areas of variation in elective care.
    • Review of strategies for 'cracking down on variation'.
    • Assessment of the potential impact on NHS productivity.

    Main Results:

    • Significant potential for improvement in elective care identified.
    • Reduction of variation is a primary driver for these gains.
    • The approach offers a model for enhancing overall NHS productivity.

    Conclusions:

    • Tackling variation in elective care is crucial for efficiency.
    • The proposed strategy can lead to substantial improvements in NHS productivity.
    • This approach represents a significant step in the 'War on Variation'.