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Related Concept Videos

Quartile01:15

Quartile

Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To find the quartiles, first, find the median or second quartile. The first quartile, Q1, is the middle value of the lower half of the data, and the third quartile, Q3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set:
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
Modified Boxplots00:57

Modified Boxplots

A standard box and whisker plot informs us about the spread of the data in a given sample. One can identify the minimum value, maximum value, first quartile value, second quartile or median value, and third quartile.
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...
Microsoft Excel: Median, Quartile range, and Box Plots01:29

Microsoft Excel: Median, Quartile range, and Box Plots

In Microsoft Excel, calculating the median, interquartile range, and creating box plots can help understand the distribution of your data.
Median and Quartile Range: The median is calculated using the formula `=MEDIAN(range)', which provides the middle value of your data set. Quartiles divide your data into four equal parts. To find the first and third quartiles, use ‘=QUARTILE(range, 1)' and ‘=QUARTILE(range, 3)', respectively. The interquartile range (IQR), which measures data spread, is...
5-Number Summary01:04

5-Number Summary

In a dataset, the 5-number summary includes the minimum data value, the data value of the first quartile, the median data value or data value of the second quartile, the data value of the third quartile, and the maximum data value. These 5 data values can be visualized as a box and whisker plot.
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
Boxplot01:12

Boxplot

Box plots (also called box-and-whisker plots or box-whisker plots) give an excellent graphical image of the concentration of the data. They also show how far the extreme values are from most data. A box plot is constructed from five values: the minimum value, the first quartile, the median, the third quartile, and the maximum value. We use these values to compare how close other data values are to them. To construct a box plot, use a horizontal or vertical number line and a rectangular box. The...

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Related Experiment Video

Updated: Jul 8, 2026

Enhanced Cochlear Coverage and Hearing Preservation in High-Frequency Hearing Loss via Electric Acoustic Stimulation with Longer Electrode
03:49

Enhanced Cochlear Coverage and Hearing Preservation in High-Frequency Hearing Loss via Electric Acoustic Stimulation with Longer Electrode

Published on: October 11, 2024

The quartile benefit plot: a middle ear surgery benefit assessment scheme.

Sébastien Schmerber1, Alexandre Karkas, Christian A Righini

  • 1Department of Otolaryngology-Head and Neck Surgery, University Medical Center of Grenoble, Grenoble, France. SSchmerber@chu-grenoble.fr

The Laryngoscope
|January 17, 2008
PubMed
Summary

A new quartile plot offers a stricter assessment of stapes surgery outcomes than the Glasgow benefit plot. This method reveals a lower success rate by including crucial criteria like hearing loss absence and air-bone gap closure.

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Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss
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Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss

Published on: January 25, 2016

Related Experiment Videos

Last Updated: Jul 8, 2026

Enhanced Cochlear Coverage and Hearing Preservation in High-Frequency Hearing Loss via Electric Acoustic Stimulation with Longer Electrode
03:49

Enhanced Cochlear Coverage and Hearing Preservation in High-Frequency Hearing Loss via Electric Acoustic Stimulation with Longer Electrode

Published on: October 11, 2024

Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss
09:44

Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss

Published on: January 25, 2016

Area of Science:

  • Otolaryngology
  • Audiology
  • Surgical Outcomes Research

Background:

  • Stapes surgery is a common treatment for otosclerosis.
  • Current methods for assessing hearing improvement may overestimate success rates.
  • Additional criteria are needed for a comprehensive evaluation of surgical outcomes.

Purpose of the Study:

  • To introduce a novel quartile benefit plot for assessing hearing improvement after stapes surgery.
  • To incorporate previously omitted criteria into the evaluation of stapes surgery success.
  • To compare the outcomes assessed by the new method versus the traditional Glasgow benefit plot.

Main Methods:

  • A retrospective analysis of 132 patients undergoing bilateral stapes surgery for otosclerosis.
  • Development of a quartile benefit plot including absence of sensorineural hearing loss and air-bone gap closure <10 dB.
  • Comparison of results using the traditional Glasgow benefit plot and the new quartile benefit plot.

Main Results:

  • The traditional Glasgow benefit plot indicated a 51.5% success rate for bilateral stapes surgery.
  • The new quartile benefit plot, with stricter criteria, showed a success rate of 38.64%.
  • The difference in success rates between the two methods was statistically significant.

Conclusions:

  • Assessing stapes surgery solely on mean air conduction deficit overestimates the success rate.
  • The quartile benefit plot provides a more rigorous and accurate measure of stapes surgery outcomes.
  • This new method enhances the evaluation and presentation of results following stapes surgery.