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- Q1
Which of the following is an example of random sampling?
Asking every 5th person who enters a store for their opinion
Choosing only friends to participate in a survey
Surveying all family members at a family reunion
30sM11/12SP-III-3 - Q2
What is the purpose of random sampling in statistics?
To manipulate the results
To ensure that every individual in the population has an equal chance of being selected
To exclude certain groups from the sample
To gather data quickly and easily
30s - Q3
Which of the following sampling methods is most likely to result in a representative sample?
Judgment sampling
Simple random sampling
Convenience sampling
Cluster sampling
30s - Q4
What is sampling distribution?
A distribution that controls the sample size
A distribution that describes the probability of selecting a sample of a particular size from a population
A distribution that is unrelated to samples and populations
A distribution that shows the spread of values in a population
30s - Q5
In simple random sampling, every individual in the population has the same chance of being selected.
truefalseTrue or False30s - Q6
A statistician wants to study the eating habits of high school students in the country. Which sampling method would be most appropriate for this study
Stratified sampling
Cluster sampling
Systematic sampling
Random sampling
30s - Q7
What is the sampling error?
The error that occurs when the selected sample is not representative of the population
The error that happens during the data collection process
The error in the data analysis phase
The error caused by taking a sample instead of conducting a census
30s - Q8
Which of the following is a disadvantage of convenience sampling?
It requires a large sample size
It ensures a representative sample
It is time-consuming
It can lead to biased results
30s - Q9
When is stratified sampling most useful?
When the population is unknown
When the population is heterogeneous
When the population is homogeneous
When the population is small
30s - Q10
What is the main advantage of quota sampling?
It guarantees a random sample
It ensures an equal representation of all subgroups in the population
It is easy and cost-effective to implement
It only selects participants from a certain quota
30s