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Medians

The median of a set of values arranged in order of magnitude (i.e., lowest to highest) is the middle value or the average of two middle values. [Pg.14]

Assume that the following values represent the number of monthly patient safety-related problems occurring in a health care facility during an 11-month period 20,20,5,30,25,27,35,15,4,9, and 18. Find the median of the given set of values. [Pg.15]

By arranging the given data values in order of magnitude, we obtain 4,5,9,10,15,18,20,25,27,30,35 [Pg.15]

Thus the median (i.e., the middle value) of the given set of data values is 18. [Pg.15]


It is also necessary to choose the position number and size of sensors to sample the magnetic field with accuracy. As the radial component of this field is null in the median plan of the excitation coil when no flaw is present, it seems obvious to measure this component, so we can use large gain amplifiers, figure 1 shows the typical aspect of the magnetic field for a ponctual flaw when a very long excitation coil is used ... [Pg.358]

We have implemented all segmentation techniques described above, in an interactive software. The operator can chose and adapt the appropriate segmentation technique with the desired parameters. Some geometrical features can be extracted using a contour following such as length, width, surface, form, median axes of the selected defect. The selection is easy and can be done interactively using the mouse. [Pg.529]

Before run ti in g a molecu lar dyn am ics sim ulatioti with solvent and a m olccular median ics meth od, choose the appropriate dielectric con Stan i. You specify th e type an d value of th c dielectric con slari t in thehorce hield Option s dialog box. ITi e dielectric con star t defines the screen irig effect of solvent molecules on nonbonded (electrostalic) in teraction s. [Pg.84]

HyperChern docs not nse con strained oplirn izatiori bnt it is possible Lo restrain m olecular in ech an ics and i]tiarituin median ics cal-cti latiori s hy adding extra restraining forces. [Pg.303]

Raw data are collected observations that have not been organized numerically. An average is a value that is typical or representative of a set of data. Several averages can be defined, the most common being the arithmetic mean (or briefly, the mean), the median, the mode, and the geometric mean. [Pg.192]

The mode of a set of numbers is that value which occurs with the greatest frequency (the most common value). The mode may not exist, and even if it does exist it may not be unique. The empirical relation that exists between the mean, the mode, and the median for unimodal frequency curves which are moderately asymmetrical is ... [Pg.192]

One way to characterize the data in Table 4.1 is to assume that the masses of individual pennies are scattered around a central value that provides the best estimate of a penny s true mass. Two common ways to report this estimate of central tendency are the mean and the median. [Pg.54]

Median The median, Xmed) is the middle value when data are ordered from the smallest to the largest value. When the data include an odd number of measurements, the median is the middle value. For an even number of measurements, the median is the average of the n/2 and the nil) + 1 measurements, where n is the number of measurements. [Pg.55]

To determine the median, we order the data from the smallest to the largest value... [Pg.55]

Since there is a total of seven measurements, the median is the fourth value in the ordered data set thus, the median is 3.107. [Pg.55]

As shown by Examples 4.1 and 4.2, the mean and median provide similar estimates of central tendency when all data are similar in magnitude. The median, however, provides a more robust estimate of central tendency since it is less sensitive to measurements with extreme values. For example, introducing the transcription error discussed earlier for the mean only changes the median s value from 3.107eto3.112e. [Pg.55]

If the mean or median provides an estimate of a penny s true mass, then the spread of the individual measurements must provide an estimate of the variability in the masses of individual pennies. Although spread is often defined relative to a specific measure of central tendency, its magnitude is independent of the central value. Changing all... [Pg.55]

Although the mean is used as the measure of central tendency in equations 4.2 and 4.3, the median could also be used. [Pg.58]

Errors affecting the distribution of measurements around a central value are called indeterminate and are characterized by a random variation in both magnitude and direction. Indeterminate errors need not affect the accuracy of an analysis. Since indeterminate errors are randomly scattered around a central value, positive and negative errors tend to cancel, provided that enough measurements are made. In such situations the mean or median is largely unaffected by the precision of the analysis. [Pg.62]

The data we collect are characterized by their central tendency (where the values are clustered), and their spread (the variation of individual values around the central value). Central tendency is reported by stating the mean or median. The range, standard deviation, or variance may be used to report the data s spread. Data also are characterized by their errors, which include determinate errors... [Pg.96]

Report the mean, median, range, standard deviation, and variance for these data. [Pg.98]

The CHA is used for xps today in most commercial spectrometers. The most common version of the CHA is the 180° device shown in Figure 22. It consists of two concentric hemispherical surfaces of radii R2 and R. These surfaces have a potential difference of AH appHed between them so that the outer surface is negative and the inner surface is positive. The median equipotential surface Rq falls between these surfaces ideally, Rq = The... [Pg.284]

In a polluted or urban atmosphere, O formation by the CH oxidation mechanism is overshadowed by the oxidation of other VOCs. Seed OH can be produced from reactions 4 and 5, but the photodisassociation of carbonyls and nitrous acid [7782-77-6] HNO2, (formed from the reaction of OH + NO and other reactions) are also important sources of OH ia polluted environments. An imperfect, but useful, measure of the rate of O formation by VOC oxidation is the rate of the initial OH-VOC reaction, shown ia Table 4 relative to the OH-CH rate for some commonly occurring VOCs. Also given are the median VOC concentrations. Shown for comparison are the relative reaction rates for two VOC species that are emitted by vegetation isoprene and a-piuene. In general, internally bonded olefins are the most reactive, followed ia decreasiag order by terminally bonded olefins, multi alkyl aromatics, monoalkyl aromatics, C and higher paraffins, C2—C paraffins, benzene, acetylene, and ethane. [Pg.370]

Table 4. Median Concentration of the Ten Most Abundant Ambient Air Hydrocarbons in 39 U.S. Cities and Their Reactivity with Hydroxyl Radical... Table 4. Median Concentration of the Ten Most Abundant Ambient Air Hydrocarbons in 39 U.S. Cities and Their Reactivity with Hydroxyl Radical...
Compound CAS Registry Number Median concentration ppb C Reactivity with OH ... [Pg.370]

The term essentially a drag coefficient for the dust cake particles, should be a function of the median particle size and particle size distribution, the particle shape, and the packing density. Experimental data are the only reflable source for predicting cake resistance to flow. Bag filters are often selected for some desired maximum pressure drop (500—1750 Pa = 3.75-13 mm Hg) and the cleaning interval is then set to limit pressure drop to a chosen maximum value. [Pg.405]

Health and Safety Factors. VDE is a flammable gas its combustion products are toxic. Liquid VDE on contact with the skin can cause frostbite. Acute inhalation toxicity of VDE is low median lethal concentrations (LC q) for rats were 128,000 ppm after a single 4-h exposure (52) and 800,000 ppm after a 30-min exposure (53). Cumulative toxicity is low exposure of rats and mice at levels of up to 50,000 ppm for 90 days did not cause any... [Pg.385]

Table 11 summarizes values for the median lethal dose (LD q) for several species. In case of massive exposure, convulsions must be controlled, and glucose, fluid balance, and uriaary output must be maintained. Medical surveillance requires checking for damage to the Hver, the organ that apparently sustains initial damage, and monitoring for changes ia the blood profile. [Pg.288]


See other pages where Medians is mentioned: [Pg.526]    [Pg.204]    [Pg.511]    [Pg.21]    [Pg.192]    [Pg.55]    [Pg.55]    [Pg.56]    [Pg.96]    [Pg.98]    [Pg.762]    [Pg.762]    [Pg.775]    [Pg.380]    [Pg.195]    [Pg.372]    [Pg.396]    [Pg.408]    [Pg.367]    [Pg.281]    [Pg.203]    [Pg.203]    [Pg.284]    [Pg.290]   
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AMAD (activity median aerodynamic

Activity median aerodynamic

Activity median aerodynamic diameter AMAD)

Activity median aerodynamic diameter AMAD) particles

Activity median aerodynamic diameters

Activity median diameter

Activity median diameter aerosols

Activity median diameter distribution

Aerosol area median diameter

Aerosol count median diameter

Aerosol mass median aerodynamic diameter

Aerosol mass median diameter

Attractions median 1998 starting, for experienced

Average mass median diameter

Average median

Count median diameter

Crack median

Daily median inflow rates of aromatic hydrocarbons for a de-alkylation plant

Descriptive median

Descriptors descriptor medians

Distributions median

Dorsal unpaired median neurons

ED50 (median effective dose

Figures FIGURE 5.7 Bayesian posterior probability density of the fraction affected at median log (HC5) for cadmium

Gaussian distribution median value

Geometric median

Hypothalamus, median eminence

Indicators of central tendency - mean, median and mode

K-median clustering

Latex median particle size

Least median of squares

Least median squares regression

MMAD (mass median aerodynamic

Mass median aerodynamic diameter

Mass median aerodynamic diameter MMAD)

Mass median diameter

Mean value median

Median (DM) Cells

Median Brachial plexus

Median Carpal Tunnel Syndrome

Median Effect Concentration

Median Effect Dose

Median Elbow

Median Forearm

Median Incapacitating Dosage

Median Incapacitating Dosage Aerosol

Median Incapacitating Dosage Vapor

Median Income of U.S. Families by Race

Median Lethal Concentration

Median Lethal Dosage

Median Lethal Dosage Vapor

Median Lethal Dose

Median Pronator Syndrome

Median Tectonic Line

Median Tumors

Median Wrist

Median absolute deviation

Median aerodynamic diameters

Median and mean

Median antennular neuropil

Median array

Median average deviation

Median calculation

Median diameters

Median droplet diameter

Median effective concentration

Median effective dose

Median efficiency

Median eminence

Median event times

Median filter

Median filtered

Median fission energies

Median forebrain bundle

Median frequency

Median incapaciting dose

Median inhibitory concentration

Median lethal dose (MLD

Median lethal exposure

Median life-span

Median metabolites

Median nerve

Median nerve neuropathy, carpal tunnel

Median numbers used

Median operator

Median particle diameter

Median particle size

Median pore sizes

Median preoptic nucleus

Median rank

Median rank equation

Median raph nucleus

Median raphe

Median raphe nucleus

Median raphe serotonergic

Median raphe serotonergic neurons

Median running

Median selector

Median size

Median smoothing

Median speed

Median statistics

Median sternotomy

Median survival time

Median time to failure

Median tolerance limit

Median toxic dose

Median urinary iodine excretion

Median value

Median value, definition

Median vent crack

Median, All

Median, definition

Median, statistical analysis

Median-radial cracks, indentation

Multiscale median filtering

Number median aerodynamic diameters

Number median size

Particle mass-median aerodynamic

Particle size distribution median

Partitioning median

Pore area median

Radial median crack

Radial-Median Cracking

Salaries median starting

Sample median plane

Statistical median

Statistical methods median

Surface median diameter

Surface-area median diameter

The bihemispheric visual median finger reaction tasks

The median initial data analysis

The monohemispheric auditory median finger reaction times

The monohemispheric auditory median reaction times

The monohemispheric visual median finger reaction times

Triangle median

Univariate median

Volume median aerodynamic diameter

Volume median diameter

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