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  1. Identifying outliers with the 1.5xIQR rule (article) | Khan Academy

    A commonly used rule says that a data point is an outlier if it is more than 1.5 ⋅ IQR above the third quartile or below the first quartile. Said differently, low outliers are below Q 1 1.5 ⋅ IQR and high …

  2. Como identificar outliers usando a regra 1,5xFIQ (artigo) - Khan Academy

    Uma regra bastante usada afirma que um dado é um outlier quando ele é maior que 1, 5 ⋅ FIQ acima do terceiro quartil ou abaixo do primeiro quartil. Em outras palavras, outliers baixos estão abaixo de Q 1 …

  3. Identifying outliers (practice) | Khan Academy

    According to the 1.5 ⋅ IQR rule for outliers, how many high outliers are there in the data set?

  4. Outliers in scatter plots (article) | Khan Academy

    Key idea: There is no special rule that tells us whether or not a point is an outlier in a scatter plot. When doing more advanced statistics, it may become helpful to invent a precise definition of "outlier", but …

  5. Identificar outliers através da amplitude interquartis (artigo) | Khan ...

    Algumas pessoas poderiam dizer que há 5 outliers, mas outras pessoas poderiam discordar dizendo que há 3 ou 4 outliers. Os estatísticos desenvolveram várias formas de identificar o que deve ou não …

  6. Como determinar outliers em um conjunto de dados - Khan Academy

    Perceba que há uma concentração maior de valores neste ponto da reta. Vamos colocar em destaque. Com esta observação, poderíamos ficar tentados a dizer que os outliers são os valores 1 e 6. No …

  7. How to calculate Z-scores (formula review) (article) | Khan Academy

    Here's the formula for calculating a z-score: z = data point mean standard deviation Here's the same formula written with symbols: z = x μ σ

  8. Identifying outliers with the 1.5xIQR rule - Khan Academy

    A commonly used rule says that a data point is an outlier if it is more than 1.5 ⋅ IQR above the third quartile or below the first quartile. Said differently, low outliers are below Q 1 1.5 ⋅ IQR and high …

  9. Box plot review (article) | Khan Academy

    A box and whisker plot—also called a box plot—displays the five-number summary of a set of data. The five-number summary is the minimum, first quartile, median, third quartile, and maximum.

  10. Linear regression review (article) | Khan Academy

    Example: Finding the equation The percent of adults who smoke, recorded every few years since 1967 , suggests a negative linear association with no outliers. A line was fit to the data to model the …