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### Course: Statistics and probability > Unit 3

Lesson 4: Variance and standard deviation of a population- Measures of spread: range, variance & standard deviation
- Variance of a population
- Population standard deviation
- The idea of spread and standard deviation
- Calculating standard deviation step by step
- Standard deviation of a population
- Mean and standard deviation versus median and IQR
- Concept check: Standard deviation
- Statistics: Alternate variance formulas

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# Concept check: Standard deviation

Six questions that will help you understand standard deviation more deeply.

## Introduction

The questions below are designed to help you think deeply about standard deviation and its formula.

Unlike most questions on Khan Academy, some of these questions aren't graded by a computer. You'll learn the most if you try answering each question yourself before clicking "explain".

## The formula (for reference)

The formula for standard deviation (SD) is

where $\sum $ means "sum of", $x$ is a value in the data set, $\overline{x}$ is the mean of the data set, and $n$ is the number of values in the data set.

## Part 1

**How can we see this in the formula for standard deviation?**

## Part 2

**If it is possible, do it! Can you create two different data sets? How about three?**

## Part 3

**Why or why not?**

*Hint: Think about the formula.*

## Part 4

Standard deviation is a measure of spread of a data distribution.

**What do you think**

*deviation*means?### Part 5

Here are the formulas for standard deviation (SD) and the formula for mean absolute deviation (MAD), both of which are measures of spread:

**What are the similarities between the formulas? What are the differences?**

### Part 6

Here's the formula that we've been using to calculate standard deviation:

Here's the formula that statisticians actually use:

**Are the two formulas equivalent?**

## Want to join the conversation?

- I agree with snowball1984...what makes this the preferred measure? It seems that there could also be another way to calculate deviation based on any way to calculate mean. Could we say that there is:

1) a linear mean deviation, [or mean absolute deviation,]

2) a standard deviation, [using the squared differences.]

3) a geometric deviation, [using the cubed differences,]

4) a harmonic deviation, [using a harmonic mean...(23 votes) - It was said that a sample variance is calculated by dividing by n-1. Why is the sample standard deviation here not dividing by n-1?(11 votes)
- It should be.

That being said, in this case, it doesn't matter so much, as Sal is not asking about how the SD will behave when changing a number. So, we're really just interested in whether the numerator is increasing or decreasing, dividing by`n`

or by`n-1`

is only scaling that numerator. So, yes, the formula should have an`n-1`

in the denominator, but having just`n`

there will not change the answer(6 votes)

- It appears this and the previous module are not using the correct variance equation. They should use the population variance equation and not the sample variance equation. N and mu, not n and x-bar.(11 votes)
- when using the formula of standard deviation that statitians use how do you know what the sign (negative or positive the answer to the devation is going to be?(2 votes)
- This question is thoroughly answered if you click [Explain] below the last question in the article.(5 votes)

- Does it make sense to calculate the standard deviation of a collection of complex numbers? That final question in Part 6 makes me wonder.(3 votes)
- I tend to think of complex numbers as vectors that lie on the plane formed by the real and imaginary axes. I'd want to think about, what am I looking to accomplish or understand through a "standard deviation" of a set of vectors?(0 votes)

- I am a bit confused: is SD an average of how far the point of data are from each other or from the mean? if second - what is the formula for "how far the points of data are from each other on average"? thank you!(1 vote)
- why do we have to divide so many times(1 vote)
- The division in the standard deviation formula serves to normalize the squared differences between each data point and the mean, allowing for a meaningful comparison of variability across different datasets. Dividing by n (the number of data points) in the population formula and by n−1 in the sample formula adjusts for the degrees of freedom and helps to estimate the spread accurately.(1 vote)

- Part 3

Can standard deviation be negative?

Hint: Think about the formula.

I thought about the formula and came up with the following.

Since symbol √ always means non-negative square root then SD cannot be negative.

The content of the Explain section then is irrelevant. In fact, it explains why*variance*cannot be negative which is a different question after all.

Correct me if I am wrong.(1 vote) - In a college class, the students averages 80% correct on the final exam. Discuss how to interpret the results(1 vote)
- Can standard deviation help to check leniency and strictness of three raters?(1 vote)