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- Home
- How It Works
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- Samples
- More
- Resources
- A Comprehensive Guide on How to Write a Book Report
- A Simple Guide on How to Write a Lab Report
- A Simple Guide to Writing the Perfect PowerPoint Presentation at Assignment café.com
- Assignmentcafe.com Sets the Pace in Academic Writing
- Beginners Guide to Writing a Good Thesis
- Creating a Flawless PowerPoint Presentation in A Few Simple Steps
- How to Excel in Your Coursework at the University
- How to Structure Your Argumentative Essays
- How to Write a Lab Report like An Expert
- How to Write a Lab Report That Will Impress Your Professor
- How to Write an Article Summary That Will Dazzle Your Professor
- How to Write Book Reviews
- Personal Statements That Will Impress the Faculty
- Professional Help for Students Writing Their Thesis
- Writing a Perfect Case Study as Part of Your Academic Work
- Writing a Perfect Case Study as Part of Your Academic Work
- Writing A Speech That Your Lecturers and Fellow Students Will Love and Remember

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In, the**standard deviation**is a measure of the amount of variation orof a set of values.^{}A low standard deviation indicates that the values tend to be close to the(also called the) of the set, while a high standard deviation indicates that the values are spread out over a wider range.

Standard deviation may be abbreviated**SD**, and is most commonly represented in mathematical texts and equations by the lower casesigma, for the population standard deviation, or the, for the sample standard deviation.

The standard deviation of a,,,, oris theof its. It issimpler, though in practice less, than the.^{}^{}A useful property of the standard deviation is that, unlike the variance, it is expressed in the same unit as the data.

The standard deviation of a population or sample and theof a statistic (e.g., of the sample mean) are quite different, but related. The sample mean’s standard error is the standard deviation of the set of means that would be found by drawing an infinite number of repeated samples from the population and computing a mean for each sample. The mean’s standard error turns out to equal the population standard deviation divided by the square root of the sample size, and is estimated by using the sample standard deviation divided by the square root of the sample size. For example, a poll’s standard error (what is reported as theof the poll), is the expected standard deviation of the estimated mean if the same poll were to be conducted multiple times. Thus, the standard error estimates the standard deviation of an estimate, which itself measures how much the estimate depends on the particular sample that was taken from the population.

In science, it is common to report both the standard deviation of the data (as a summary statistic) and the standard error of the estimate (as a measure of potential error in the findings). By convention, only effects more than two standard errors away from a null expectation are considered, a safeguard against spurious conclusion that is really due to random sampling error.

When only aof data from a population is available, the term*standard deviation of the sample*or*sample standard deviation*can refer to either the above-mentioned quantity as applied to those data, or to a modified quantity that is an unbiased estimate of the*population standard deviation*(the standard deviation of the entire population).

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