- Percentile
A

**percentile**is the value of a variable below which a certain percent of observations fall. So the 20th percentile is the value (or score) below which 20 percent of the observations may be found. The term percentile and the related termpercentile rank are often used indescriptive statistics as well as in the reporting of scores from norm-referenced tests. The 25th percentile is also known as the firstquartile (Q_{1}); the 50th percentile as themedian or second quartile(Q_{2}); the 75th percentile as the third quartile (Q_{3}).**Definition**There is no standard definition of percentile [

*cite web*] [

url=http://cnx.org/content/m10805/latest

title=Percentiles

last=Lane

first=David

accessdate=2007-09-15*cite web*] , however all definitions yield similar results when the number of observations is large. One definition, usually given in unsophisticated texts, is that the $p$-th percentile of $N$ ordered values is obtained by first calculating the rank $n\; =\; frac\{N\}\{100\},p+frac\{1\}\{2\}$, rounding to the nearest integer, and taking the value that corresponds to that rank.

url=http://www.mis.coventry.ac.uk/~nhunt/pottel.pdf

title=Statistical flaws in Excel

last=Pottel

first=Hans

accessdate=2006-03-22An alternative method, used in many applications, is to use

linear interpolation between the two nearest ranks instead of rounding. Specifically, if we have $N$ values $v\_1$, $v\_2$, $v\_3$,...,$v\_N$ , ranked from least to greatest, define the percentile corresponding to the $n$-th value as $p\_n=frac\{100\}\{N\}(n-frac\{1\}\{2\}).$ In this way, for example, if $N=5$ the percentile corresponding to the third value is $p\_3=frac\{100\}\{5\}(3-frac\{1\}\{2\})=50.$Suppose we now want to calculate the value $v$ corresponding to a percentile $p$. If $pmath>\; or$ pp\_N$,\; we\; take$ v=v\_1$or$ v=v\_N$respectively.\; Otherwise,\; we\; find\; an\; integer$ k$such\; that$ p\_kle\; p\; le\; p\_\{k+1\}$,\; and\; take$ v=v\_k+frac\{N\}\{100\}(p-p\_k)(v\_\{k+1\}-v\_k).$[$*cite web*] When $p=50$, the formula gives the median. When $N$ is even and $p=25$, the formula gives the median of the first $frac\{N\}\{2\}$ values.

url=http://www.mathworks.com/access/helpdesk/help/toolbox/stats/prctile.html

title=Matlab Statistics Toolbox - Percentiles

accessdate=2006-09-15Linked with the percentile function, there is also a weighted percentile, where the percentage in the total weight is counted instead of the total number. In most spreadsheet applications there is no standard function for a weighted percentile. One method for weighted percentile extends the method described above. Suppose we have positive weights $w\_1$, $w\_2$, $w\_3$,...,$w\_N$ , associated respectively with our $N$ sample values. Let $S\_n=sum\_\{k=1\}^\{n\}w\_k$ be the $n$-th partial sum of these weights. Then the formulae above are generalized by taking $p\_n=frac\{100\}\{S\_N\}(S\_n-frac\{w\_n\}\{2\})$ and $v=v\_k+frac\{p-p\_k\}\{p\_\{k+1\}-p\_k\}(v\_\{k+1\}-v\_k).$

**Alternative methods**Many software packages, such as

Microsoft Excel , use the following method to estimate the value, $v\_p$, of the $p^\{th\}$ percentile of an ascending ordered dataset containing $\{N\}$ elements with values $v\_1,\; v\_2,\; ...\; ,v\_N$;$n\; =\; frac\{p\}\{100\},(\{N\}-1)+1$

$n$ is then split into its integer component, $k$ and decimal component, $d$, such that $n\; =\; k\; +\; d$.

If $k\; =\; 0$, then the value for that percentile, $v\_p$, is the first member of the ordered dataset, $v\_1$.

If $k\; =\; N$, then the value for that percentile, $v\_p$, is the $N^\{th\}$ member of the ordered dataset, $v\_N$.

Otherwise, $1\; <\; k\; <\; N$ and $v\_p=v\_k+d(v\_\{k+1\}-v\_k).$

An alternative method is as above, with $n$ calculated as $n\; =\; frac\{p\}\{100\},(\{N\}+1)$**Relation between percentile, decile and quartile*** P

_{25}= Q_{1}

* P_{50}= D_{5}= Q_{2}= median value

* P_{75}= Q_{3}

* P_{100}= D_{10}= Q_{4}

* P_{10}= D_{1}

* P_{20}= D_{2}

* P_{30}= D_{3}

* P_{40}= D_{4}

* P_{60}= D_{6}

* P_{70}= D_{7}

* P_{80}= D_{8}

* P_{90}= D_{9}**Note:**One quartile is equivalent to 25 percentile while 1 decile is equal to 10 percentile.**Examples**When ISPs bill "burstable" internet bandwidth, the 95th or 98th percentile usually cuts off the top 5% or 2% of bandwidth peaks in each month, and then bills at the nearest rate. In this way infrequent peaks are ignored, and the customer is charged in a fairer way. The reason this statistic is so useful in measuring data throughput is that it gives a very accurate picture of the cost of the bandwidth. The 95th percentile says that 95% of the time, your usage is below this amount. Just the same, the remaining 5% of the time, your usage is above that amount.

Physicians will often use infant and children's

weight and height percentile as a gauge of relative health.**The normal curve and percentiles**Percentiles are often represented graphically, using a "normal curve". A normal curve is always divided in the same respective manner. At the peak, in the center, stands the point of the mean of the distribution being graphed. On both the right and left sides each, the graph is divided into 3 equal parts, 1, 2, and 3 to the right and -1, -2, -3 to the left respectively. The important thing to remember is that at each of these standard deviation represents a fixed percentile. In other words, every standard deviation unit on the axis, including standard deviation units -3 to +3 have specific percentiles that are always paired with them, regardless the data or values in the distribution. So, what are the pairs of percentiles/standard deviation units? -2 = 2.5th percentile; -1 = 16th percentile; 0 = 50th percentile (also the mean of the distribution as previously stated); +1 = 84th percentile; +2 = 97.5th percentile; +3 = 99.8th percentile.

Percentage also becomes a factor in measuring a distribution graphically. On any normal curve, 99.7% of data lies between the -3 and +3 values, 95% between -2 and +2, 68% between -1 and +1, 34% between 0 and -1 or 0 and +1, 16% between -1 and -2 or +1 and +2 and 2.5% between -2 and -3 or +2 and +3. The remaining 0.3% of the data is between -3 and negative infinity or +3 and positive infinity.

**ee also***

Quantile

*Quartile

*Decile

*Summary statistics

*Percentile rank **References**http://www.itl.nist.gov/div898/handbook/prc/section2/prc252.htm

**External links*** [

*http://www.wessa.net/perc.wasp Free Online Software (Calculator)*] computes Percentiles for any dataset according to 8 different percentile definitions.

*Wikimedia Foundation.
2010.*

### Look at other dictionaries:

**percentile**— ⇒PERCENTILE, subst. masc. STAT. Synon. de centile. Les percentiles sont les valeurs de la variable qui divisent la population ou la variable continue en 100 groupes égaux en nombre (1 % de la population) (Éduc. 1979). Prononc. :[ ]. Étymol. et… … Encyclopédie Universelle**percentile**— per‧cen‧tile [pəˈsentaɪl ǁ pər ] noun [countable] STATISTICS one hundredth of a set of things or people, arranged in order on a scale: • Our employees pay is at the 90th percentile of that offered by similar companies (= it is higher than the pay … Financial and business terms**percentile**— [pər sen′tīl΄, pərsent′ l] n. [ PERCENT + ILE] Statistics 1. any of the values in a series dividing the distribution of the individuals in the series into one hundred groups of equal frequency 2. any of these groups adj. of a percentile or… … English World dictionary**percentile**— 1889, from PERCENT (Cf. percent) + ILE (Cf. ile) … Etymology dictionary**percentile**— ► NOUN Statistics 1) each of 100 equal groups into which a population can be divided according to the distribution of values of a particular variable. 2) each of the 99 intermediate values of a variable which divide a frequency distribution into… … English terms dictionary**Percentile**— The percentage of individuals in a group who have achieved a certain quantity (such as height, weight, and head circumference) or developmental milestone (such as "walking well" the 50th percentile for which is12 months of age). * * *… … Medical dictionary**percentile**— UK [pə(r)ˈsentaɪl] / US [pərˈsenˌtaɪl] noun [countable] Word forms percentile : singular percentile plural percentiles one of the 100 equal groups that a large number of people or things are divided into for comparing something such as test… … English dictionary**percentile**— /peuhr sen tuyl, til/, Statistics. n. 1. one of the values of a variable that divides the distribution of the variable into 100 groups having equal frequencies: Ninety percent of the values lie at or below the ninetieth percentile, ten percent… … Universalium**percentile**— per·cen·tì·le s.m. TS stat. 1. → centile 2. dato o valore che divide una serie ordinata in modo non decrescente dimodoché ogni altro dato o valore a esso inferiore rappresenti una determinata percentuale; anche agg.: dato percentile | estens.,… … Dizionario italiano**percentile**— /pəˈsɛntaɪl / (say puh sentuyl) Statistics –noun 1. one of the values of a variable which divides the distribution of the variable into 100 groups having equal frequencies. Thus, there are 100 percentiles: the first, second, etc., percentile.… … Australian English dictionary