Challenge: Detecting Outliers Using 3-Sigma Rule
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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
equals0
. - Specify
std
equals4
. - 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.
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Challenge: Detecting Outliers Using 3-Sigma Rule
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Swipe to start coding
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
equals0
. - Specify
std
equals4
. - 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.
Løsning
Tak for dine kommentarer!
Awesome!
Completion rate improved to 3.7single