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The reason behind this uncertainty was that we ignored the below point.
Compared to men, more women applied to departments that were harder to get into.
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Simpson's paradox occurs when there are variables that split data into multiple separate distributions. This hidden variable is referred to as the Lurking variable.
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With Simpson's paradox at hand, decision-making can be hard. But understanding and identifying this paradox is important for interpreting the data clearly.
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Let us assume that we are observing several groups of data and we establish a relationship or correlation between them.
According to Simpson's Paradox, when we combine all the groups together and look at the aggregate form of the data, the correlation that we noticed may reverse itself!
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To avoid Simpson's Paradox, which leads us to two different interpretations of the same data,
we need to analyse the data either by splitting it into groups or by aggregating it together.
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One of the most famous examples of Simpson's paradox is, admission to graduate school at US Berkeley in 1973. Due to this turmoil UC Berkeley Almost Got Sued For Sex Discrimination!
When we look at the overall Admissions, men are most likely to get accepted than women
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However, when overall admissions are divided into department-wise admissions, women are more likely to be admitted than men.
Out of the 6 departments 4 of the departments accepted women more than men.
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Simpson's Paradox, also known as the Yule-Simpson effect, is a statistical phenomenon in which a trend that appears in several groups of data eventually disappears or overturns when the groups are combined.
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"The Rights of Women" was published in 1792 and gave her immediate fame. She enraged classical and conservative poets like Horace Walpole who called her "a hyena in a bra". She blanched many alleged radicals, both politicians and writers and pundits of a press th...
Political power used to be concentrated mainly among the royal family, while most people, male and female, lacked a voice in political decisions. When a wave of democratisation in the 19th century expanded to include men, women were denied the right to vote because it was believed that they were ...
The BMI scale cannot be applied to everyone (especially women & POC) because it was developed by studying European men — and thus does not take into account racial & sex differences.
It is also an inaccurate measure of body fat content
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