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

bookChallenge: Detecting Outliers Using 3-Sigma Rule

Tarefa

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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:

  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.

Solução

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Seção 1. Capítulo 7
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bookChallenge: Detecting Outliers Using 3-Sigma Rule

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Tarefa

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:

  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.

Solução

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Completion rate improved to 3.7
Seção 1. Capítulo 7
single

single

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