It is important to make sure your random sample is random in order to make sure the results are accurate, and to prevent experimenter bias.
Representative/random
A reason for requiring a sample.
Take a simple random sample.
The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.
The answer is Random Sample
random sample
Random Sample
random or blind
Selection, choice
It is important to make sure your random sample is random in order to make sure the results are accurate, and to prevent experimenter bias.
bias.
Representative/random
simple random sample is to select the sample in random method but systematic random sample is to select the sample in particular sequence (ie 1st 11th 21st 31st etc.)• Simple random sample requires that each individual is separately selected but systematic random sample does not selected separately.• In simple random sampling, for each k, each sample of size k has equal probability of being selected as a sample but it is not so in systematic random sampling.
bias
A reason for requiring a sample.
Take a simple random sample.