The z-distribution, sometimes known as the standard normal distribution, is a particular normal distribution with a mean of 0 and a standard deviation of 1. By transforming the values of any normal distribution into z-scores, any normal distribution can be standardised. The Z-score indicates how many standard deviations each number deviates from the mean.
A normal distribution with a mean of 0 and a standard deviation of 1 is known as the standard normal distribution (z distribution). The formula z = (x-mean) / standard deviation can be used to transform any point (x) from a normal distribution to the standard normal distribution (z).
The mean and variance are the two parameters that define a normal distribution. A standard normal distribution is a normal distribution with a mean of 0 and a standard deviation of 1.
The mean, median, and mode are all equal in normal distributions, which are symmetric, unimodal, and asymptotic. Around its centre, a normal distribution is exactly symmetrical.
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Montu Mali
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nice ☺️👍
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Abdul Samed
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please provide course notes
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Shashi Kumar
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great resource to learn data science in hindi. but in this particular video lecture there is a mistake....actually mutually exclusive event can never be independent event.
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Nikhil Fapale
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it really amazing to study....and easily understand difficult concepts...i hope you make more video on like power bi and nueral network model....its really helpful....thank you for these
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Sanjeev Rana
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please provide course notes
Prakash Suresh Lokhande
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Great. please provide pdf notes
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Sagar Desai
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Good
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ANUPAM TIWARI
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nice course
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MD Mishkat Ahsan
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plzz provide pdf notes also
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Neha Tiwari
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Mujhe ye link Sanjeev Sir k ek vedio se mili.. & i am very happy to watch this vedio..
& my all doughts are clear..
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