When you repeat your survey or poll for all feasible samples of the population, you get the sampling distribution of a proportion. For example, instead of surveying 1000 cat owners about their pet's preferred cat food, you may conduct numerous polls.
To determine the sample distribution, you'll need to know the population's standard deviation. Divide the total number of observations in the sample by the total number of observations.
A sampling distribution is a probability distribution of a statistic derived from a large number of samples drawn from a particular population. Researchers employ sample distributions to make the statistical inference process easier.
The distribution has a symmetrical and generally normal form.
There are no significant outliers or variations from the general pattern.
The genuine population mean is fairly near to the centre of the distribution.
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Umashankar
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1.easy to understand all topic
2.cover all topic
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Akash Sambhaji
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plz provides all notes
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Jamil Akhtar
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plzz provide notes....
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Sunita Singhal
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please provide notes also in pdf
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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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