Difference between big sample and small sample
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The basic difference is that big sample have more number of sample while the small sample only restricted to few.
There are less chances of error in big sample result while in case of small sample the original may variate.
Additionally, Big samples are often time consuming and need much effort as compared to the small samples.
The big sample generally required more amount of money for it's collection as compared to the small sample .
There are less chances of error in big sample result while in case of small sample the original may variate.
Additionally, Big samples are often time consuming and need much effort as compared to the small samples.
The big sample generally required more amount of money for it's collection as compared to the small sample .
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Explanation:
The basic difference is that big sample have more number of sample while the small sample only restricted to few.
- There less changes of error in big sample result while in case of small sample the original may variate.
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