Questions tagged [standard-deviation]

Standard deviation is the square root of the variance of a random variable, an estimator thereof, or a similar measure of the spread of a batch of data.

Overview

The standard deviation (usually denoted by $\sigma$) is a measure of spread of a random variable or of data. It is expressed in the same units as the original data, unlike the variance. The standard deviation is defined as the square root of the second central moment of a random variable. For a random variable $X$ with mean (expected value) $\mathrm{E}[X]$, the standard deviation is expressed as:

$$\sigma = \sqrt{\mathrm{E}\left[ (X- \mathrm{E}(X) )^2 \right]} = \sqrt{\mathrm{E}[X^2] - \left(\mathrm{E}[X] \right)^2}$$

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Why square the difference instead of taking the absolute value in standard deviation?

In the definition of standard deviation, why do we have to square the difference from the mean to get the mean (E) and take the square root back at the end? Can't we just simply take the absolute value of the difference instead and get the expected…
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What's the difference between variance and standard deviation?

I was wondering what the difference between the variance and the standard deviation is. If you calculate the two values, it is clear that you get the standard deviation out of the variance, but what does that mean in terms of the distribution you…
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Difference between standard error and standard deviation

I'm struggling to understand the difference between the standard error and the standard deviation. How are they different and why do you need to measure the standard error?
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Understanding "variance" intuitively

What is the cleanest, easiest way to explain someone the concept of variance? What does it intuitively mean? If one is to explain this to their child how would one go about it? It's a concept that I have difficulty in articulating - especially when…
PhD
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How to 'sum' a standard deviation?

I have a monthly average for a value and a standard deviation corresponding to that average. I am now computing the annual average as the sum of monthly averages, how can I represent the standard deviation for the summed average ? For example…
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Why is sample standard deviation a biased estimator of $\sigma$?

According to the Wikipedia article on unbiased estimation of standard deviation the sample SD $$s = \sqrt{\frac{1}{n-1} \sum_{i=1}^n (x_i - \overline{x})^2}$$ is a biased estimator of the SD of the population. It states that $E(\sqrt{s^2}) \neq…
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What does standard deviation tell us in non-normal distribution

In a normal distribution, the 68-95-99.7 rule imparts standard deviation a lot of meaning, but what would standard deviation mean in a non-normal distribution (multimodal or skewed)? Would all data values still fall within 3 standard deviations? Do…
Zuhaib Ali
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Mean absolute deviation vs. standard deviation

In the text book "New Comprehensive Mathematics for O Level" by Greer (1983), I see averaged deviation calculated like this: Sum up absolute differences between single values and the mean. Then get its average. Througout the chapter the term mean…
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Standard deviation of standard deviation

What is an estimator of standard deviation of standard deviation if normality of data can be assumed?
user88
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What is the difference between a population and a sample?

What is the difference between a population and a sample? What common variables and statistics are used for each one, and how do those relate to each other?
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Is it possible to find the combined standard deviation?

Suppose I have 2 sets: Set A: number of items $n= 10$, $\mu = 2.4$ , $\sigma = 0.8$ Set B: number of items $n= 5$, $\mu = 2$, $\sigma = 1.2$ I can find the combined mean ($\mu$) easily, but how am I supposed to find the combined standard deviation?
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How do I calculate a weighted standard deviation? In Excel?

So, I have a data set of percentages like so: 100 / 10000 = 1% (0.01) 2 / 5 = 40% (0.4) 4 / 3 = 133% (1.3) 1000 / 2000 = 50% (0.5) I want to find the standard deviation of the percentages, but weighted for their…
Yahel
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What is a standard deviation?

What is a standard deviation, how is it calculated and what is its use in statistics?
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How to interpret root mean squared error (RMSE) vs standard deviation?

Let's say I have a model that gives me projected values. I calculate RMSE of those values. And then the standard deviation of the actual values. Does it make any sense to compare those two values (variances)? What I think is, if RMSE and…
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Variance of a bounded random variable

Suppose that a random variable has a lower and an upper bound [0,1]. How to compute the variance of such a variable?
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