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Q 1/10
Score 0
In data sampling, which method selects samples in such a way that every member of the population has an equal chance of being selected?
30
Simple random sampling
Systematic sampling
Stratified sampling
Cluster sampling
Q 2/10
Score 0
Which data sampling technique involves dividing the population into subgroups and then taking a random sample from each subgroup?
30
Convenience sampling
Simple random sampling
Stratified sampling
Systematic sampling
10 questions
Q.
In data sampling, which method selects samples in such a way that every member of the population has an equal chance of being selected?
1
30 sec
Q.
Which data sampling technique involves dividing the population into subgroups and then taking a random sample from each subgroup?
2
30 sec
Q.
What is the primary purpose of using sampling in data science?
3
30 sec
Q.
Which sampling method involves selecting every nth individual from a list after a random start?
4
30 sec
Q.
What type of sampling involves selecting individuals based on ease of access or availability?
5
30 sec
Q.
Which sampling technique would you use if you wanted to ensure that a specific subgroup, such as a particular age range, is represented in your sample?
6
30 sec
Q.
When conducting a survey, which sampling method could lead to a biased result by only including easy-to-reach individuals?
7
30 sec
Q.
Which of the following best describes 'cluster sampling'?
8
30 sec
Q.
Which of the following is a significant drawback of using convenience sampling?
9
30 sec
Q.
What is the potential risk of using a very small sample size in any sampling method?
