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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1.easy to understand all topic
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plz provides all notes
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plzz provide notes....
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please provide notes also in pdf
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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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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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