Random Sampling

Question 1

What is Random Sampling? (2 main features)

Answer 1

1. Random samples give every member of the wider population an equal chance of being selected for the researcher’s sample.
2. They are more representative of population characteristics than other methods.

Question 2

What is the 1st step of Random Sampling?

Answer 2

Obtain a complete list of all the individuals in the population from which the sample is to be taken = A Sampling Frame

Question 3

What is the 2nd step of Random Sampling?

Answer 3

Assign a unique identifying number to each individual in the sampling frame

Question 4

What is the 3rd step of Random Sampling?

Answer 4

Selects the sample members by using a random sampling technique.

Question 5

List the 4 types of random sampling.

Answer 5

1. Simple Random sampling
2. Systematic Random sampling
3. Stratified Random sampling
4. Cluster sampling

Question 6

Define Simple Random Sampling.

Answer 6

Select members from the sampling frame to create sample by generating numbers randomly.

Question 7

Define Systematic Random sampling.

Answer 7

Create a sample by selecting individuals from the sampling frame at fixed intervals.

Question 8

Define Stratified Random sampling

Answer 8

Dividing the members of the population into sub-groups (on the basis of gender, age, ethnicity, occupation, or income)

Question 9

Define Cluster sampling (2 points).

Answer 9

• Randomly selecting a sample of naturally-occurring clusters from the population