Challenge: Detecting Outliers Using 3-Sigma Rule | Additional Statements From The Probability Theory
Probability Theory Mastering

Course Content

Probability Theory Mastering

## Probability Theory Mastering

1. Additional Statements From The Probability Theory
2. The Limit Theorems of Probability Theory
3. Estimation of Population Parameters
4. Testing of Statistical Hypotheses

# Challenge: Detecting Outliers Using 3-Sigma Rule

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:

1. Specify `mean` equals `0`.
2. Specify `std` equals `4`.
3. 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 button below the code to check your solution.

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:

1. Specify `mean` equals `0`.
2. Specify `std` equals `4`.
3. 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 button below the code to check your solution.

Everything was clear?

Section 1. Chapter 7

# Challenge: Detecting Outliers Using 3-Sigma Rule

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:

1. Specify `mean` equals `0`.
2. Specify `std` equals `4`.
3. 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 button below the code to check your solution.

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:

1. Specify `mean` equals `0`.
2. Specify `std` equals `4`.
3. 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 button below the code to check your solution.

Everything was clear?

Section 1. Chapter 7

# Challenge: Detecting Outliers Using 3-Sigma Rule

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:

1. Specify `mean` equals `0`.
2. Specify `std` equals `4`.
3. 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 button below the code to check your solution.

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:

1. Specify `mean` equals `0`.
2. Specify `std` equals `4`.
3. 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 button below the code to check your solution.

Everything was clear?

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:

1. Specify `mean` equals `0`.
2. Specify `std` equals `4`.
3. 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 button below the code to check your solution.

Section 1. Chapter 7
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