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Topic: Standard deviation

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Standard deviation - Wikipedia, the free encyclopedia A distinction is made between the standard deviation σ (sigma) of a whole population or of a random variable, and the standard deviation s of a subset-population sample. The term standard deviation was introduced to statistics by Karl Pearson (On the dissection of asymmetrical frequency curves, 1894). The standard deviation is always a positive number (or zero) and is always measured in the same units as the original data. en.wikipedia.org /wiki/Standard_deviation   (1427 words)

Standard Deviation (Volatility) Because Standard Deviation is used to determine the spread between upper and lower Bollinger Bands, the Bollinger Band Width indicator can be used as a substitute for the Standard Deviation indicator. There is a different kind of Standard Deviation calculation that is used when you are taking a statistical sample of a population, but that version is not used in technical analysis since all of the data points are known. The standard deviation is then equal to the square root of that number. www.stockcharts.com /education/IndicatorAnalysis/indic_standardDev.html   (554 words)

Standard Deviation Plots Standard deviation vs. stress is a useful plot in accelerated life testing analysis and provides information about the spread of the data at each stress level. www.weibull.com /AccelTestWeb/standard_deviation_plots.htm   (26 words)

Standard Deviation This is because the standard deviation measures the spread of the data. The standard deviation measures the spread of the data about the mean value. The standard deviation can usually be calculated much more easily with a calculator and this may be acceptable in some exams. www.mathsrevision.net /gcse/standard_deviation.php   (401 words)

Standard-Deviation Technicals Standard deviations are a natural fit for the financial markets, as they are effectively a measure of volatility, which in and of itself is one of the primary variables that speculators zealously watch. The deviation part refers to the volatility of data away from its average, while the standard part refers to the notion that a known percentage of any dataset is always within defined multiples of a “standard” deviation. Standard deviations quantify core market volatility in a unique, comparable, and easy to understand way that no other indicator can touch, including the mighty VIX implied volatility index. www.zealllc.com /2003/stddev.htm   (3042 words)

Standard Deviation at Trade10.com- The science of trading market momentum for stocks, options, futures and bonds. As a measure of volatility, standard deviation have been used in the construction of Bollinger bands as an upper and lower band that are a certain standard deviation level away from a central moving average. Standard deviation is the measure of tightness of a probability distribution. Standard deviation is calculated by first calculating the mean of a group of data points. www.trade10.com /standard_deviati.htm   (1224 words)

North American Arms A standard deviation of 29 fps means you expect two-thirds of the individual velocities to be within 28 fps of the average. Standard deviation is the best measure of uniformity, and it fits recognized procedures, equations and textbooks. Although standard deviation is the best available measure of velocity uniformity, it is not good enough to be considered only measure of ammo quality. www.naaminis.com /standev.html   (1374 words)

Microsoft Excel : Standard Deviation The standard deviation of the monthly temperatures evaluated for cities closer to the coast is lower and, therefore, an indication that those values tend to be more consistant. Standard deviation tells how tightly a set of values is clustered around the average of those same values. As we look further inland, the standard deviation of temperatures in those cities grows progressively larger, suggesting these groups of values are less consistant with themselves. www.beyondtechnology.com /tips016.shtml   (1072 words)

standard deviation - Hutchinson encyclopedia article about standard deviation The standard deviation is the square root of this mean. Standard Deviation of the Number of Delayed Frames If n is the number of items of data, x is the value of each item, and μ is the mean value, the standard deviation ςmay be given by the formula encyclopedia.farlex.com /standard%20deviation   (242 words)

Investment Volatility: Standard Deviation You don't need to know the exact definition of standard deviation to understand this article, although the definition is in the glossary if you really want to know it. The volatility of an investment is given by the statistical measure known as the standard deviation of the return rate. An SandP 500 index fund has a standard deviation of about 15%; a standard deviation of zero would mean an investment has a return rate that never varies, like a bank account paying compound interest at a guaranteed rate. www.moneychimp.com /articles/volatility/standard_deviation.htm   (286 words)

Standard Deviation (from Internet Glossary of Statistical Terms) The standard deviation is one of several indices of variability that statisticians use to characterize the dispersion among the measures in a given population. To calculate the standard deviation of a population it is first necessary to calculate that population's variance. Numerically, the standard deviation is the square root of the variance. www.animatedsoftware.com /statglos/sgstdev.htm   (138 words)

eBMJ -- Statistics at Square One: 2. Mean and standard deviation This procedure illustrates the structure of the standard deviation, in particular that the two extreme values 0.1 and 3.2 contribute most to the sum of the differences squared. The standard deviation is a summary measure of the differences of each observation from the mean. Obtain the mean and standard deviation of the data in and an approximate 95% range. www.bmj.com /collections/statsbk/2.shtml   (2546 words)

BS 2.09 Quantitative Methods in Biological and Environmental Science The standard deviation of the population from which the sample was drawn is s = 120 mg. Many parametric statistics are based on the normal distribution because of this, and also its property of describing both the location (mean) and dispersion (standard deviation) of the data. The formula for the normal distribution contains two parameters: the mean, giving its location, and the standard deviation, giving the shape of the symmetrical 'bell'. www.soton.ac.uk /~cpd/mean2.html   (754 words)

Standard Deviation The standard deviation is an investment’s “average variation from the average return.” The higher the standard deviation, the greater the volatility, and therefore the greater the risk. The standard deviation is the amount of swing in performance that an investment can be expected to have from year to year. Thus, standard deviation teaches us to look beyond the “average annual return” figures that are touted by stockbrokers and mutual fund advertising. www.ricedelman.com /planning/investing/standard.asp   (735 words)

deviation mean roulette standard wheel deviates from the mean, the greater the standard deviation, the riskier the... Assuming that X and Y are independent, calculate the mean and standard deviation of W. Suppose that we have a roulette wheel with 2 green slots (zero and double-zero),... standard deviation but they all tend towards the same mean or average -- i.e. www.casino-online-222.com /63/deviation-mean-roulette-standard-wheel.html   (606 words)

What Is The Standard Deviation? The standard deviation a concept from statistics is a measure of the amount of variation or deviation that might be expected between the actual indicator value and the forecasted value. Thus the standard deviation is a very concise and powerful way of conveying the amount of uncertainty in the forecasts. Statistics also says there is always some small chance the actual value can be any number of standard deviations from the forecasted value but usually the actual value will be within 3 standard deviations of the forecasted value. www.neatideas.com /info/stdev.htm   (315 words)

Glock Talk - Standard Deviation The standard deviation (SD) is a statistical term used to measure the average distance from the average. Standard deviation describes the shape of the distribution of the velocities you measured; it defines the ranges of confidence you can have in your average. Standard Deviation (SD) is simply the "average" or "expected" variation around an average of a group of numbers. www.glocktalk.com /showthread.php?goto=lastpost&threadid=414233   (2372 words)

Areas of Normal Distributions The normal distributions shown in figure 1 and figure 2 are specific examples of the general rule that 68% of the area of any normal distribution is within one standard deviation of the mean. For quick approximations, it is sometimes useful to round off and use 2 rather than 1.96 as the number of standard deviations you need to extend from the mean so as to include 95% of the area. For all normal distributions, 95% of the area is within 1.96 standard deviations of the mean. cnx.rice.edu /content/m11166/latest   (542 words)

Definition: Standard deviation The population standard deviation (often represented by the Greek letter sigma) is measures the variability of data in a population. It is easy to compute (compared to a population standard deviation) because it is based on a small and manageable sample. Let's examine a standard deviation computation for data on PI max values in a sample of children with cystic fibrosis. www.childrens-mercy.org /stats/definitions/stdev.htm   (298 words)

Dictionary.com/standard deviation In finance, standard deviation is applied to the annual rate of return of an investment to measure the investment's volatility (risk). The higher the standard deviation of an investment's returns, the greater the relative riskiness because of uncertainty in the amount of return. An analyst may wish to calculate the standard deviation of historical returns on a stock or a portfolio as a measure of the investment's riskiness. dictionary.reference.com /search?q=standard%20deviation   (419 words)

Standard Deviation, a statistical concept - Technical Analysis Standard deviation is useful for investing in stock options, because it provides a measure of volatility. Standard Deviation is used as a component of many indicators in market analysis. In most cases, a high standard deviation implies high volatility and a low standard deviation implies low volatility. www.chartfilter.com /reports/c43.htm   (399 words)

Standard Deviation However, when calculating the Standard Deviation of small sample, a better estimate of the parent group is obtained by dividing by (n-1) instead of dividing by "n". The "Standard Deviation is referred to as the square root of the Variance. The "Standard Deviation" for grouped data can be calculated as in the previous example, but it can also be calculated via the grouped data method. www.bjmath.com /bjmath/Stats/sd.htm   (572 words)

Standard Deviation One standard deviation away from the mean in either direction on the horizontal axis (the red area on the above graph) accounts for somewhere around 68 percent of the people in this group. Two standard deviations away from the mean (the red and green areas) account for roughly 95 percent of the people. A large standard deviation in a study that claims to show a relationship between eating Twinkies and killing politicians, for example, might tip you off that the study's claims aren't all that trustworthy. www.robertniles.com /stats/stdev.shtml   (1083 words)

Standard Deviation and Variance Therefore, the standard deviation is reported as the square root of the variance and the units then correspond to those of the data set. The calculation and notation of the variance and standard deviation depends on whether we are considering the entire population or a sample set. The population standard deviation is the square root of this value. www.quickmba.com /stats/standard-deviation   (445 words)

CHP - Precision The standard deviation, s, is a statistical measure of the precision for a series of repetitive measurements. Under a normal distribution, ± one standard deviation encompasses 68% of the measurements and ± two standard deviations encompasses 96% of the measurements. The relative standard deviation (RSD) is useful for comparing the uncertainty between different measurements of varying absolute magnitude. www.chem.vt.edu /chem-ed/data/precision.html   (413 words)

Standard Deviation and Variance The standard deviation is often used by investors to measure the risk of a stock or a stock portfolio. The standard deviation of the six returns for Portfolio A is 1.52; for Portfolio B it is 7.24. The basic idea is that the standard deviation is a measure of volatility: the more a stock's returns vary from the stock's average return, the more volatile the stock. www.davidmlane.com /hyperstat/A40397.html   (240 words)

Fool.com: A Foolish Math Primer, Part 2 [Workshop] March 9, 2000 Standard deviation is calculated by taking each data point (a person's weight, or an annual return) determining how far away it is from the average, and then plugging all those distances from the average into a formula. Standard deviation is important for a bunch of reasons, which were discussed in more detail in our articles about statistical significance. Standard Deviation ("SD") is a measure of the variance in a set of data. www.fool.com /workshop/2000/workshop000309.htm   (802 words)

MAT 158 PROJECT 3 Generate a 100 random data from a normal distribution with mean =80 and same standard deviation as the previous distribution (standard deviation=7). Generate a 100 random data from a normal distribution with mean 75 and standard deviation 7; and store the data in C1. Using the 100 sample means in Column C7, Construct a Histogram; also, find the mean and standard deviation of the distribution of the 100 sample means. www.oaklandcc.edu /iadakka/MAT158PROJECT3.htm   (478 words)

Ed 602 - Lesson 10 - One Sample Statistical Tests The sample estimate of the standard error of the mean is based on S (the sample standard deviation) and the square root of n (the sample size). Unfortunately for us the standard error of the mean does not equal the population standard deviation but instead is equal to the population standard deviation (sigma) divided by the square root of the sample size (n). In the problem we are considering, we do not know the population standard deviation (or the standard error of the mean) so we estimate it from the sample data. www.mnstate.edu /wasson/ed602lesson10.htm   (1009 words)

Standard deviation The standard deviation measures the spread of a set of data. The variance statistic is simple the square of the standard deviation, i.e. The sample standard deviation is not particularly easy to interpret. www.math.sfu.ca /~cschwarz/Stat-301/Handouts/node33.html   (234 words)

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