The one-sample t-test is a statistical hypothesis test that can be used to see if an unknown population mean differs from a given value.
Use a paired t-test to compare the group mean over time or after an intervention if you're only studying one group, or a one-sample t-test to compare the group mean to a standard value if you're only studying one group. Use a two-sample t-test if you're comparing two groups. Use a two-tailed test if you only want to know if there is a difference.
To compare two related means, a paired samples t-test is performed. It examines the null hypothesis that the difference between two related means is equal to zero.
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Montu Mali
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nice ☺️👍
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Abdul Samed
5
please provide course notes
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Shashi Kumar
5
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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