Box And Whisker Plot
Box And Whisker Plot - Related Videos
01:29
Microsoft Excel: Median, Quartile range, and Box Plots
0 Views •
2025
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...
02:34
Arrhenius Plots
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2020
The Arrhenius equation relates the activation energy and the rate constant, k, for chemical reactions. In the Arrhenius equation, k = Ae−Ea/RT, R is the ideal gas constant, which has a value of 8.314 J/mol·K, T is the temperature on the kelvin scale, Ea is the activation energy in J/mole, e is the constant 2.7183, and A is a constant called the frequency factor, which is related to the frequency of collisions and the orientation of the reacting molecules. The Arrhenius equation can be used to...
10:14
Whisker-signaled Eyeblink Classical Conditioning in Head-fixed Mice
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Cited by 9 •
2016
The preparation presented here for whisker-signaled eyeblink conditioning in head-fixed mice precisely stimulates specific whiskers while allowing mice to ambulate on a cylindrical treadmill. A whisker stimulation conditioned stimulus (CS) paired with a periorbital shock unconditioned stimulus (US) results in reliable associative learning on this apparatus.
03:28
Functional Magnetic Resonance Spectroscopy of the Rat Barrel Cortex During Whisker Stimulation
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2025
Source: Blanc, J., et al. Functional Magnetic Resonance Spectroscopy at 7 T in the Rat Barrel Cortex During Whisker Activation. J. Vis. Exp. (2019)This video demonstrates the method of analyzing metabolic changes in the rat barrel cortex using functional magnetic resonance spectroscopy during whisker stimulation. Baseline metabolite spectra are compared with stimulated spectra to detect lactate increase in the barrel cortex, confirming successful neuronal activation.
01:26
Bode Plots
0 Views •
2024
Bode plots are graphical tools that use logarithmic scales for frequency on the x-axis and gain in decibels on the y-axis. This logarithmic method allows a wide range of frequencies to be compactly displayed, enabling the analysis of component effects on circuit behavior across a broad frequency spectrum. A network function represents the ratio of a system's output to its input, with the magnitude and phase angle derived from the complex network function. The decibel logarithmic gain is...
FAQs
The median identifies the central position of the numerical data, while the first and third quartiles mark the boundaries of the middle portion summarized by the box. The distance between those quartiles represents the interquartile range, so a wider box indicates greater spread in that part of the distribution. Together, these values show where observations concentrate.
Whiskers extend from the box to the most extreme values within a defined range. Individual points beyond the whiskers may signal unusually distant observations, called outliers. These points do not automatically prove that a value is incorrect; instead, they identify data that may deserve closer examination for unusual patterns, measurement concerns, or meaningful variation.
The relative positions and lengths of the box, median, and whiskers provide visual clues about distributional shape. Unequal spacing or noticeably different extensions can suggest skewness, while changes in box width or overall range reveal differences in variability. Comparing these features across plots helps evaluate how groups differ in center, spread, and unusual values.
First, organize the observations around the five summary values: minimum, first quartile, median, third quartile, and maximum. Draw the box from the first to the third quartile and mark the median inside it. Then extend whiskers to the most extreme values within the defined range and display any observations beyond them as individual points.
A Box And Whisker Plot is useful when several groups contain numerical observations that need a compact visual comparison. Placing their plots together makes differences in central position, interquartile spread, total extent, skewness, and possible outliers easier to see. This supports exploratory data analysis when researchers need to identify patterns before deciding how to examine the data further.
The visual summary can reveal substantial variability, asymmetry, or potential data anomalies that may affect subsequent analysis. Researchers can use those observations to decide whether a group requires closer inspection or whether further statistical modeling should account for differences among distributions. The plot does not replace later analysis, but it provides an initial evidence-based view of the data.