Why is sample size important when analyzing data?
Yes, the sample size is important.
Based on the sample size, the sample is known as a large sample or a small sample.
A sample of 30 or more is considered a large sample and otherwise it is a small sample.
For a large sample, we make use of the Binomial distribution, Normal distribution for testing purposes.
For a small sample, we use the t-distribution, the Chi-square distribution, the F-distribution etc for testing purposes.
Hence the size of the sample tells us what distribution is to be used.