To compare the mean of two independent groups, the unpaired two-samples t-test is utilised. Assume we've measured the weight of 100 people: 50 women (group A) and 50 men (group B) (group B). We want to know if women's average weight (mA) differs significantly from men's (mB).
Paired sample t-test used to test two paired sample means
An unpaired t-test (also known as an independent t-test) examines the averages/means of two independent or unrelated groups to see if there is a statistically significant difference between them.
The two-sample t-test (also known as the independent samples t-test) is a statistical approach for determining if two groups' unknown population means are equal.
The unpaired t test compares the difference in means to the standard error of the difference, which is calculated by combining the two groups' standard errors. If the data are paired or matched, a paired t test should be used instead.
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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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