Arrange the following steps of the sampling process in the correct sequence, considering their roles in ensuring the representativeness and accuracy of the sample:

A. Deciding on the method of data collection
B. Identifying the target population
C. Determining the sampling frame
D. Selecting the appropriate sampling technique
E. Calculating the sampling error
F. Choosing the sample size

Choose the correct answer from the options given below:

Correct option is C

The correct order of steps in the sampling process is:

1. B. Identifying the target population: The first step is to define the specific population that the research aims to study.

2. C. Determining the sampling frame: Once the target population is identified, a sampling frame (the list of all possible units from the population) is constructed.

3. D. Selecting the appropriate sampling technique: Based on the population and research design, the appropriate sampling method (random, stratified, etc.) is selected to ensure representativeness.

4. F. Choosing the sample size: The sample size is then determined, considering factors like precision, confidence level, and population size.

5. A. Deciding on the method of data collection: The data collection method is chosen (e.g., surveys, interviews) once the sample and sampling plan are finalized.

6. E. Calculating the sampling error: The sampling error is evaluated at the end to ensure that the sample's representativeness and accuracy meet the desired standards.

   Information Booster:

• Identifying the target population (Option B) is the foundation of sampling. A well-defined population ensures the sample reflects the correct group for research purposes.

• Determining the sampling frame (Option C) is important to ensure that every member of the population has a chance to be included in the sample. Without a good frame, bias may occur.

• Selecting the appropriate sampling technique (Option D) ensures that the sample is selected using a method that best matches the research’s purpose and objectives.

• Choosing the sample size (Option F) involves statistical considerations to balance precision and practical constraints (e.g., time, budget).

• Deciding on the method of data collection (Option A) depends on how the sample data will be obtained. It's essential that the method aligns with the sample's characteristics and the research goals.

• Calculating the sampling error (Option E) is the final step in ensuring that the sampling method leads to minimal error, which is crucial for making valid inferences.

  Additional Information:

  Basis	Sampling Errors	Non-Sampling Errors
  Meaning	Errors due to studying a sample instead of entire population	Errors occurring at any stage of research
  Control	Can be reduced by increasing sample size	More dangerous, difficult to control
  Examples	Variation in sample	Wrong data entry, biased questions