Selected seats: 10, 20 30, 40, 50
It is a good representative sample because of the ease of use and there are no complications since it is random data.
The sample is biased due to the high level of sampling error and bias when selecting the data as it is influenced by the researcher.
Delegate your assignment to our experts and they will do the rest.
Selected seats: 1 12, 23, 34, 45
The sample has good representative as each seat had equal chances of being selected and there are less chances of conducting an error due to data analysis.
The sample can be biased as the units are scattered and there are less chances of achieving best representatives.
Selected sample: 6, 16, 26, 36, 46
Good representative sample because of ease of executing and understanding. The cluster selection is eliminated.
Biased sample due to assumption of the size population can be established. The sample requires natural degree of randomness and the data can be manipulated easily.
Selected seats: 25-30
The sample is a good representative due to the less resources needed as it only requires choosing a sample to representative the rest. The method is also more feasible.
The sample however is biased as only a cluster of the seats is chosen and the sampling error is very high.
Seats selected: 31-40
The sample is good due to ease of choosing the sample and it reflects the pattern of the population accurately.
The sample is biased as it cannot be applied in all sampling studies.
