M2L3: Sampling

Question 1

is the process of selecting samples from a given population

Answer 1

Sampling

Question 2

every member of the population being sampled has an equal probability of being selected

Answer 2

Probability sampling

Question 3

each member of the sample is selected in such a way that each member of the population has an equal chance of being included

Answer 3

Simple random sampling

Question 4

is used when there is a ready list of the total population arranged in order

Answer 4

Systematic sampling

Question 5

is used to ensure different important groups or strata in the population are adequately represented

Answer 5

Stratified random sampling

Question 6

is sometimes called area sampling

Answer 6

Cluster sampling

Question 7

occurs when each member of the population does not have a known chance of being included in the sample. Instead, it is apt to the researcher to select who will be chosen.

Answer 7

Non-Probability Sampling

Question 8

researcher chooses the closest, most available, or willing persons as respondents

Answer 8

Convenience sampling

Question 9

researchers select subjects that would meet the quota of each group of his desired sample

Answer 9

Quota sampling

Question 10

subjects are selected based on characteristics that each member possesses

Answer 10

Purposive sampling

Question 11

starts with a a selected or known respondent who in turn will point to the next possible respondent, who will in turn point to the next possible respondent, and so on, until data are accumulated

Answer 11

Snowball or chain referral sampling

Question 12

happens when subjects volunteer themselves as in telephone, internet, or text surveys

Answer 12

Volunteer sampling

Question 13

Types of Non-probability sampling (5)

Answer 13

1) Convenience sampling
2) Quota sampling
3) Purposive sampling
4) Snowball or chain referral sampling
5) Volunteer sampling

Question 14

Types of Probability sampling (4)

Answer 14

1) Simple random sampling
2) Systematic sampling
3) Stratified random sampling
4) Cluster sampling

Question 15

Type of sampling:
Done through lottery, or through a table of numbers.

Answer 15

Simple random sampling

Question 16

Type of sampling:
The researcher would like to choose a sample of size 10 from the population of 500 persons. He divides 500 by 10 and gets 50. This means that he will have to include every 50th member of N after choosing a random start.

Answer 16

Systematic sampling

Question 17

Type of sampling:
Consider a class of 50 students, 30 are girls and 20 are boys. If a sample of 15 students is to be chosen such that the number of boys and girls are proportionally represented, how is this obtained?

Answer 17

Stratified random sampling

Question 18

Type of sampling:
The population is divided into separate groups called clusters. The clusters are randomly chosen. Each member in the selected cluster is included in the sample.

Answer 18

Cluster sampling

Question 19

Type of sampling:
A survey is done to find out the average size of families living in Caloocan City. Assume that there are 250 barangays in Caloocan City. A random sample of 20 barangays is drawn and then a certain number of families from each of the 20 barangays is drawn.

Answer 19

Cluster sampling

Question 20

Type of sampling:
The researcher gets 200 smokers and 200 non-smokers.

Answer 20

Quota sampling

Question 21

Type of sampling:
Married vs Unmarried subjects

Answer 21

Purposive sampling