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How does Normal distribution occur? - Answers

Normal distribution occurs when a large number of independent random variables, each contributing a small effect, combine to produce a result. This phenomenon is often described by the Central Limit Theorem, which states that the sum of these variables tends to form a bell-shaped curve, regardless of the original distribution of the variables. In real-world scenarios, many natural phenomena, such as heights, test scores, and measurement errors, exhibit this distribution pattern due to the cumulative effect of numerous small, random influences.



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How does Normal distribution occur? - Answers

https://math.answers.com/math-and-arithmetic/How_does_Normal_distribution_occur

Normal distribution occurs when a large number of independent random variables, each contributing a small effect, combine to produce a result. This phenomenon is often described by the Central Limit Theorem, which states that the sum of these variables tends to form a bell-shaped curve, regardless of the original distribution of the variables. In real-world scenarios, many natural phenomena, such as heights, test scores, and measurement errors, exhibit this distribution pattern due to the cumulative effect of numerous small, random influences.



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https://math.answers.com/math-and-arithmetic/How_does_Normal_distribution_occur

How does Normal distribution occur? - Answers

Normal distribution occurs when a large number of independent random variables, each contributing a small effect, combine to produce a result. This phenomenon is often described by the Central Limit Theorem, which states that the sum of these variables tends to form a bell-shaped curve, regardless of the original distribution of the variables. In real-world scenarios, many natural phenomena, such as heights, test scores, and measurement errors, exhibit this distribution pattern due to the cumulative effect of numerous small, random influences.

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      Normal distribution occurs when a large number of independent random variables, each contributing a small effect, combine to produce a result. This phenomenon is often described by the Central Limit Theorem, which states that the sum of these variables tends to form a bell-shaped curve, regardless of the original distribution of the variables. In real-world scenarios, many natural phenomena, such as heights, test scores, and measurement errors, exhibit this distribution pattern due to the cumulative effect of numerous small, random influences.
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