The (estimated) standard deviation of a parameter estimate. For example, the standard error of the mean is estimated as .

The standard deviation (positive square-root of the variation) of the errors associated with physical measurements of an unknown quantity, or statistical estimates of an unknown parameter or of a random variable.

The standard error of the mean (SE) is calculated as the standard deviation divided by the square root of the number of observations.

a measure of the random variability of a statistic, such as the mean (i.e., standard error of the mean). The standard error of the mean is equal to the standard deviation divided by the square root of the sample size (n).

An open file normally connected directly to a primary output device such as a terminal, printer, or screen. Error messages and other diagnostic output normally goes to this file and then to the output device. The user can redirect the standard error output into another file insetead of the printer or screen.

Statistics from a sample of the population will vary from sample to sample. The standard error is a measure of the size of the variation in the sample statistic over all samples of the same size as the study sample. The greater the study sample size, the smaller the variation across samples. The size of the standard error determines the range of values that will include the population parameter. Smaller standard errors lead to more precise estimates of the characteristic in the population.

A measure of the degree of uncertainty for inferring to a population from a sample. This number is used to compute the confidence interval.

Standard error is a kind of tolerance around the sample mean, and in many ways the most important concept in statistics. It is related to, but not the same as, standard deviation. Essentially, if you could take infinitely many samples of a particular size from a population, the means of the samples would themselves form a population. The standard error is the standard deviation of this population of sample means. More formally this is called the standard error of the mean. By the same token, there are standard errors or any estimated parameter, eg. the standard error of the intercept and standard error of the gradient.

Another term for Standard Deviation.

A measure of the precision of an estimate, equal to the square root of the variance. (See Variance and RSE or Relative Standard Error.)

In statistics, a measure of the possible error in an estimate. Plus or minus 2 standard errors usually provides a 95% confidence interval.

(in regression): A measure of dispersion in regression estimates analogous to the standard deviation in calculating the mean. The standard error in regression can be used to estimate the wobble in the estimates of (1) the intercept (c), (2) the slope (b), (3) the mean of all future estimated values of y at a given x-value, or (4) any individual future estimated value of y at a given x-value. [See regression equation

A theoretical value expressing expected chance measure of effect under assumed circumstances. The formula for calculating standard error is determined by the test chosen. The actual value is calculated based on data observed when sampling during research. The standard error is affected by sample size and standard deviation in the sample. Larger sample sizes produce smaller standard errors (diminishingly so) and smaller standard deviations produce smaller standard errors (diminishingly so). [See measure of effect, test statistic

The default stream for sending error messages - usually connected to the screen.

The destination of error and special messages from a program, intended to be used for diagnostic messages. The standard error output is often called stderr. Standard error usually appears on the display unless it is directed otherwise.

The square root of the variance divided by the sample size. Describes how widely values are dispersed around the mean.

a measurement of a statistical projection's accuracy based on the sample size used to obtain that projection

a quantitative measure of the accuracy of a given calculation of a statistic, such as a mean or a median

a standard deviation corrected for the number of observations made

the standard deviation of the error in an estimate

The standard deviation of the sampling distribution of an estimator.

In multiple regression, the standard error represents "average" deviation between actual and predicted observations. Graphically, it represents the spread or variability around the predication line. Standard errors are also found for statistics, such as standard error of the mean, standard error for a proportion, etc. In this context, the standard error refers to the standard deviation of the sampling distribution for that statistic.

A measure of the variability of a portfolio's return that cannot be explained by market fluctuations. A low standard error indicates that portfolio returns are closely correlated with market returns (as a result of a high degree of diversification).

The standard deviation of the sampling distribution of the mean. A statistical estimate of the population standard deviation based on the mean and standard deviation of one sample. Calculated by dividing the standard deviation of the sample by the square root of the number of subjects in the sample.

The standard deviation of a parameter estimate. Commonly used to calculate asymptotic confidence limits.

is the estimated standard deviation of a statistic based on a sample.

A measure of the margin of error in a survey result attributable to sampling.

Commonly used measure of how precisely one can estimate a population value from a given sample. For large sample surveys, a reasonable interpretation of the standard error is that approximately 68 percent of the time the sample estimate will be within one standard error of the population value. For example, if one estimates that the mean income for individuals within a specified group is $30,000 with a standard error of $5,000, one would be right 68 percent of the time in assuming that the true (or population) mean income for the group is between $25,000 and $35,000.

The Unix-standard output stream for errors. Programs write any error messages on stderr, so that they can be separated from normal output.

The standard deviation of a theoretical distribution of sample means about the true population mean.

the file descriptor number 2, opened by every process, used by convention to print error messages to the terminal screen. See Also standard input, standard output.

In UNIX, the defined receiver of error messages about a process. By default, the standard error goes to the terminal.

A file that represents where commands will place their error messages, usually assigned to your terminal screen. When the system writes to the standard error file (stderr), the output appears on your screen unless you have redirected the standard error.

The device to which a program can send error messages. The display is normally standard error.

Standard error is a measure of variability. The standard error of a statistic is the standard deviation of the sampling distribution of that statistic. Standard errors are important because they reflect how much sampling fluctuation a statistic will show. The standard error of a statistic depends on the sample size. In general, the larger the sample size the smaller the standard error.

the standard deviation of a distribution of sample means; the square root of the variance of the sampling distribution.

an estimated quantity which, when added to and subtracted from a logit measure or calibration, gives the least distance required before a difference becomes meaningful.

stderr) The default place where the system writes error messages. The default is the terminal display.

The standard error is the standard deviation of a mean. Standardisation An important transformation that brings all values (regardless of their distributions and original units of measurement) to form a normal distribution with a mean of 0 and a standard deviation of 1.

The standard place where error messages from programs are sent. By default it will be the user's terminal. It is separate from the output so that it is possible to notice errors automatically.

The usual place where a program writes its error messages. By default, this is the screen. Standard error can be redirected; to a file, for example. Also known as stderr.

A logical channel that receives error messages generated during processing. By default, standard error is sent to your screen, but can be redirected to a file or pipe. Standard error is file descriptor

The standard error measures the standard deviation of the dispersion about the regression line (least squares regression line has the smallest sum of squared errors). It is also referred to as "unsystematic variation"Â—the variation not explained by the regression line.= (n)1/2 Ïƒ = standard deviation n = sample size

The device to which a program or operating system normally sends error messages. Standard error is usually directed to either the terminal screen or to a file. For more information, see "Using Command-Line Redirection" in Chapter 1, Getting Started.

The standard deviation of the sampling distribution of a statistic. As such, it measures the precision of the statistic as an estimate of a population or model parameter. A commonly computed standard error is the standard error of the mean, defined as (population standard deviation) / n0.5

Is a measure of the amount of sampling error present and it is equal to the standard deviation.

An output stream usually intended to be used for diagnostic messages.

The standard error of a rate is a measure of the sampling variability of the rate.

Also known as STDERR, standard error is an output stream out of a program that allows it to print error messages on a separate conceptual stream than the program's normal output. $ ls -Fa / /thisfiledoesntexist /usr/local/bin/ls: /thisfiledoesntexist: No such file or directory ./

[email protected] export/ lost+found/ platform/ tmp/ xfn/ ../ dev/ home/ mnt/ proc/ usr/ .bash_history devices/ kernel/ net/ root/ var/ auto/ etc/

[email protected] opt/ sbin/ vol/ $ The first line of output, the error message saying that the file, /thisfiledoesnotexist actually does not exist, is printed to STDERR, while the rest is printed to STDOUT (see below). $ ls -Fa / /thisfiledoesntexist ls_of_root.txt /usr/local/bin/ls: /thisfiledoesntexist: No such file or directory $ In this example, we redirect the output of ls into a file, so the only thing that gets printed is the error message.

(1) An output file intended to be used for error messages for C programs. (2) In many workstation-based operating systems, the output stream to which error messages or diagnostic messages are sent.

Also known as Standard Deviation.

Statistical estimate of possible size error present in a test score or other group measure.

The standard error is a measure of the deviation of a sample estimate from the average of all possible samples. Related terms: American Community Survey (ACS), Confidence interval (American Community Survey), Estimates (American Community Survey and Census 2000 Supplementary Survey)

In statistics, the standard error of a value is the estimated standard deviation of the process by which it was generated, including adjusting for sample size. In other words the standard error is the standard deviation of the sampling distribution of the sample statistic (such as sample mean, sample proportion or sample correlation). The notation for standard error can be any one of SE, SEM (for standard error of measurement or mean), or S_E.