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Math Animations on Instagram: "➡️ The normal distribution is an important probability distribution that is widely used in many areas of statistics and science. It is described by its probability density function, which represents a symmetrical bell curve. The equation of the normal distribution has two parameters: the expected value μ and the standard deviation σ. The standard deviation σ is a measure of the spread of the data around the expected value. It determines the width and extent of the
Math Animations on Instagram: "➡️ The normal distribution is an important probability distribution that is widely used in many areas of statistics and science. It is described by its probability density function, which represents a symmetrical bell curve. The equation of the normal distribution has two parameters: the expected value μ and the standard deviation σ. The standard deviation σ is a measure of the spread of the data around the expected value. It determines the width and extent of the
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Santosh Kumar on Instagram: "🔢Day 101 – Data Science Journey (Statistics) 📊Topic: Standard Normal Distribution and Z-Score 🔯 Standard Normal Distribution The standard normal distribution is a special case of the normal distribution. It is characterized by the following properties: 💠 Mean (μ): The mean of the standard normal distribution is 0. 💠Standard Deviation (σ): The standard deviation is 1. 💠Symmetry: The distribution is symmetric about the mean. 💠Bell-shaped Curve: The graph of the
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Analytics Shiksha | Build a Data Analytics Career 🚀 on Instagram: "Understanding Normal Distribution: Bell Curve & Data Spread | Analytics Shiksha What is Normal Distribution, and why is it important in data analytics? In this video, we break it down: 🔹 Definition: A bell-shaped symmetric probability distribution 🔹 Key Characteristics: How data values are distributed and spread 🔹 Real-World Relevance: Why normal distribution is essential in statistics and machine learning Mastering this conc
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Math Animations on Instagram: "➡️ The multivariate normal distribution describes the distribution of several random variables that are jointly normally distributed. The parameters 𝜇_x and 𝜇_y determine the mean values of the two variables and shift the distribution in two-dimensional space. As 𝜇_x is increased, the distribution shifts to the right; as 𝜇_y is increased, the distribution shifts upward. These shifts change the position of the distribution without affecting its shape or spread.
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Timo Lesniewski | Clown, Physical Actor & Artist on Instagram: "+++Englisch Version below+++ Dieses Video ging um die Welt – und ich gleich mit! 😄 Über 70 Millionen Aufrufe weltweit. Über 245.000 neue Abonnenten – aus so vielen Ländern, dass ich selbst nicht mehr mitzähle. 🗺️❤️ Was als ganz normaler Bühnenmoment begann, wurde plötzlich ein weltweiter Lacher – und hat mein Leben komplett auf den Kopf gestellt. Danke an euch alle da draußen – egal ob aus Deutschland, Brasilien, Japan oder Indien
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