The aim of this question is to analyze the **bell curve**. The given curve is a perfect bell shape because, from the **mean**, the values are the same on both sides, i.e., on the left and right. This question is related to the concepts of mathematics.

Here, we have to calculate three basic parameters: **mean μ**, **one standard deviation** away from the **mean μ+σ**, and **standard deviation σ**.

## Expert Answer

**normal distribution**that has a shape similar to a bell. The maximum value of the curve gives us information about the

**mean, median, and mode**, while the standard deviation gives us information about the relative width around the mean.

**For finding mean ($\mu$): **We know that the normal curve shows the normal distribution, and in the above curve, we have **three standard deviations**, i.e., one, two, and three standard deviations on **both sides of the mean**.

From the curve, the parameter which is at the center can be identified as the mean $\mu$. Therefore:

**\[ \mu = 51 \]**

**One standard deviation away from the mean: **We have identified the three standard deviations as $(\mu + \sigma)$, $(\mu + 2\sigma)$, and $(\mu + 3\sigma)$, with their values. Therefore, the required one standard deviation away from the mean is calculated as follows:

**\[ \mu + \sigma = 53 \]**

**For the calculation of standard deviation:** The standard deviation is the value away from the mean. It can be calculated as follows:

We have

\[ \mu + \sigma = 53 \]

\[ 51 + \sigma = 53 \]

\[ \sigma = 2 \]

## Numerical Results

The required numerical results are as follows.

**For finding mean ($\mu$):**

\[ \mu = 51 \]

**One standard deviation away from mean:**

\[ \mu + \sigma = 53 \]

**The calculation of standard deviation:**

\[ \sigma = 2 \]

## Example

The **mean** $\mu$ of a **bell curve** is $24$ and its **variance** $\sigma$ is $3.4$. Find **standard deviations** up to $3\sigma$.

The given values are:

\[ \mu = 24 \]

\[ \sigma = 3.4 \]

The standard deviations are given as:

The $1st$ **standard deviation** is given as:

\[ \mu + 1\sigma = 24 + 3.4 \]

\[ \mu + 1\sigma = 27.4 \]

The $2nd$ **standard deviation** is given as:

\[ \mu + 2\sigma = 24 + 2 \times 3.4 \]

\[ \mu + 2\sigma = 24 + 6.8 \]

\[ \mu + 2\sigma = 30.8 \]

The $3rd$ **standard deviation** is given as:

\[ \mu + 3\sigma = 24 + 3 \times 3.4 \]

\[ \mu + 3\sigma = 24 + 10.2 \]

\[ \mu + 3\sigma = 34.2 \]

*Images/ Mathematical drawings are created with Geogebra. *