# What is a standard deviation curve?

## What is a standard deviation curve?

The **standard deviation** is a statistic that tells you how tightly all the various examples are clustered around the mean in a set of data. When the examples are pretty tightly bunched together and the bell-shaped **curve** is steep, the **standard deviation** is small.

## How do you find the standard deviation of a curve?

The **standard deviation** requires us to first **find** the mean, then subtract this mean from each data point, square the differences, add these, divide by one less than the number of data points, then (finally) take the square root.

## What is 1 standard deviation on a normal curve?

For an approximately **normal** data set, the values within **one standard deviation** of the mean account for about 68% of the set; while within two **standard deviations** account for about 95%; and within three **standard deviations** account for about 99.

## Is a low standard deviation good?

**Standard deviation** is a mathematical tool to help us assess how far the values are spread above and below the mean. A high **standard deviation** shows that the data is widely spread (less reliable) and a **low standard deviation** shows that the data are clustered closely around the mean (more reliable).

## How do you know if standard deviation is small or large?

The center of the graph is the mean, and the height and width of the graph are **determined** by the **standard deviation**. When the **standard deviation is small**, the curve will be tall and narrow in spread. When the **standard deviation** is **large**, the curve will be **short** and wide in spread.

## How can I calculate standard deviation?

**To calculate the standard deviation of those numbers:**

- Work out the Mean (the simple average of the numbers)
- Then for each number: subtract the Mean and square the result.
- Then work out the mean of those squared differences.
- Take the square root of that and we are done!

## What risk does standard deviation measure?

**Standard deviation** is a **measure** of the **risk** that an investment will fluctuate from its expected return. The smaller an investment's **standard deviation**, the less volatile it is. The larger the **standard deviation**, the more dispersed those returns are and thus the riskier the investment is.

## What is a big standard deviation?

A low **standard deviation** indicates that the values tend to be close to the mean (also called the expected value) of the set, while a high **standard deviation** indicates that the values are spread out over a wider range.

## Is a high standard deviation bad?

A **standard deviation** (or σ) is a measure of how dispersed the data is in relation to the mean. Low **standard deviation** means data are clustered around the mean, and **high standard deviation** indicates data are more spread out.

## Why standard deviation is best?

As you see without using **standard deviation**, both data set have same variability, but that's not true. When you will find the **standard deviation** it will help you distinguish between both data sets and give you answer of how dispersed the data are.

## Why is range better than standard deviation?

Well the **range** just tells us the **difference** between the highest and lowest values which can be very highly influenced by extreme results. So the **standard deviation** is a **better** measure of spread of the data.

## Should I use range or standard deviation?

The smaller your **range or standard deviation**, the lower and better your variability is for further analysis. The **range** is useful, but the **standard deviation** is considered the more reliable and useful measure for statistical analyses. In any case, both are necessary for truly understanding patterns in your data.

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