Sampling Flashcards

(25 cards)

1
Q

What is sampling in research?

A

Sampling is the process of selecting a subset of individuals from a population to estimate characteristics of the whole population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

True or False: A sample must represent the entire population accurately.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is a population in the context of sampling?

A

A population is the entire group of individuals or instances about whom we hope to learn.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is a sample?

A

A sample is a subset of the population that is used to represent the entire group.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Fill in the blank: The process of selecting a sample from a population is called __________.

A

sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is the purpose of sampling?

A

The purpose of sampling is to gather data and make inferences about a population without surveying every individual.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Name one method of sampling.

A

Random sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

True or False: Convenience sampling is a type of probability sampling.

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is random sampling?

A

Random sampling is a sampling technique where each member of the population has an equal chance of being selected.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is stratified sampling?

A

Stratified sampling involves dividing the population into subgroups and randomly sampling from each subgroup.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is systematic sampling?

A

Systematic sampling is a method where you select every nth individual from a list of the population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Fill in the blank: In __________ sampling, individuals are selected based on their availability or easy access.

A

convenience

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is cluster sampling?

A

Cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters to sample.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

True or False: The larger the sample size, the more accurate the estimate of the population parameter.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is a sampling frame?

A

A sampling frame is a list or database from which a sample is drawn.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is sampling bias?

A

Sampling bias occurs when some members of the population are systematically more likely to be selected than others.

17
Q

What is the difference between probability and non-probability sampling?

A

Probability sampling involves random selection, while non-probability sampling does not.

18
Q

Fill in the blank: __________ sampling is often used in qualitative research.

19
Q

What is a representative sample?

A

A representative sample accurately reflects the characteristics of the population from which it is drawn.

20
Q

True or False: Non-probability sampling can lead to more biased results compared to probability sampling.

21
Q

Name one advantage of using a small sample size.

A

It is less costly and time-consuming.

22
Q

What is oversampling?

A

Oversampling is the practice of sampling a larger number of individuals from a subgroup to ensure adequate representation.

23
Q

Fill in the blank: __________ error refers to the difference between the sample statistic and the actual population parameter.

24
Q

What is convenience sampling commonly used for?

A

Convenience sampling is commonly used for exploratory research or pilot studies.

25
What does the term 'sampling distribution' refer to?
The sampling distribution refers to the probability distribution of a statistic obtained by selecting random samples from a population.