Course Content

Probability Theory Mastering

## Probability Theory Mastering

# Challenge: Detecting Outliers Using 3-Sigma Rule

Task

In the previous chapter, we mentioned that we can find outliers for **normally distributed random variables** using the 3-sigma rule. In the general case, we will consider all those values outside the 3-sigma range as outliers.

Your task is to find outliers on a specific dataset. You have to assume that the given samples have a Gaussian distribution with a mean of `0`

and a standard deviation of `4`

.
Your task is to:

- Specify
`mean`

equals`0`

. - Specify
`std`

equals`4`

. - Specify criteria for outliers detection due to the 3-sigma rule.

Note

We have to admit that in real-life tasks, we cannot unreasonably say that the data has a Gaussian distribution and a certain mean and standard deviation. For this, various statistical tests are carried out. This will be discussed in more detail in the next chapters.

_{Once you've completed this task, click the Submit Task button below the code to check your solution.}

Task

In the previous chapter, we mentioned that we can find outliers for **normally distributed random variables** using the 3-sigma rule. In the general case, we will consider all those values outside the 3-sigma range as outliers.

Your task is to find outliers on a specific dataset. You have to assume that the given samples have a Gaussian distribution with a mean of `0`

and a standard deviation of `4`

.
Your task is to:

- Specify
`mean`

equals`0`

. - Specify
`std`

equals`4`

. - Specify criteria for outliers detection due to the 3-sigma rule.

Note

We have to admit that in real-life tasks, we cannot unreasonably say that the data has a Gaussian distribution and a certain mean and standard deviation. For this, various statistical tests are carried out. This will be discussed in more detail in the next chapters.

_{Once you've completed this task, click the Submit Task button below the code to check your solution.}

Everything was clear?

# Challenge: Detecting Outliers Using 3-Sigma Rule

Task

In the previous chapter, we mentioned that we can find outliers for **normally distributed random variables** using the 3-sigma rule. In the general case, we will consider all those values outside the 3-sigma range as outliers.

Your task is to find outliers on a specific dataset. You have to assume that the given samples have a Gaussian distribution with a mean of `0`

and a standard deviation of `4`

.
Your task is to:

- Specify
`mean`

equals`0`

. - Specify
`std`

equals`4`

. - Specify criteria for outliers detection due to the 3-sigma rule.

Note

We have to admit that in real-life tasks, we cannot unreasonably say that the data has a Gaussian distribution and a certain mean and standard deviation. For this, various statistical tests are carried out. This will be discussed in more detail in the next chapters.

_{Once you've completed this task, click the Submit Task button below the code to check your solution.}

Task

**normally distributed random variables** using the 3-sigma rule. In the general case, we will consider all those values outside the 3-sigma range as outliers.

Your task is to find outliers on a specific dataset. You have to assume that the given samples have a Gaussian distribution with a mean of `0`

and a standard deviation of `4`

.
Your task is to:

- Specify
`mean`

equals`0`

. - Specify
`std`

equals`4`

. - Specify criteria for outliers detection due to the 3-sigma rule.

Note

Everything was clear?

# Challenge: Detecting Outliers Using 3-Sigma Rule

Task

**normally distributed random variables** using the 3-sigma rule. In the general case, we will consider all those values outside the 3-sigma range as outliers.

Your task is to find outliers on a specific dataset. You have to assume that the given samples have a Gaussian distribution with a mean of `0`

and a standard deviation of `4`

.
Your task is to:

- Specify
`mean`

equals`0`

. - Specify
`std`

equals`4`

. - Specify criteria for outliers detection due to the 3-sigma rule.

Note

Task

**normally distributed random variables** using the 3-sigma rule. In the general case, we will consider all those values outside the 3-sigma range as outliers.

Your task is to find outliers on a specific dataset. You have to assume that the given samples have a Gaussian distribution with a mean of `0`

and a standard deviation of `4`

.
Your task is to:

- Specify
`mean`

equals`0`

. - Specify
`std`

equals`4`

. - Specify criteria for outliers detection due to the 3-sigma rule.

Note

Everything was clear?

Task

**normally distributed random variables** using the 3-sigma rule. In the general case, we will consider all those values outside the 3-sigma range as outliers.

Your task is to find outliers on a specific dataset. You have to assume that the given samples have a Gaussian distribution with a mean of `0`

and a standard deviation of `4`

.
Your task is to:

- Specify
`mean`

equals`0`

. - Specify
`std`

equals`4`

. - Specify criteria for outliers detection due to the 3-sigma rule.

Note