#1
Which of the following is NOT a probability sampling method?
Simple random sampling
Stratified sampling
Convenience sampling
Systematic sampling
#2
What is the purpose of convenience sampling?
To ensure that every individual in the population has an equal chance of being selected.
To select individuals based on predetermined criteria.
To divide the population into homogeneous groups.
To select individuals who are readily available and accessible.
#3
Which sampling method is commonly used in opinion polls and market research?
Stratified sampling
Systematic sampling
Convenience sampling
Quota sampling
#4
What is the purpose of sampling in statistics?
To accurately estimate population parameters.
To ensure that every individual in the population is selected.
To analyze the entire population data.
To eliminate sampling bias.
#5
Which sampling method is prone to selection bias?
Stratified sampling
Simple random sampling
Convenience sampling
Systematic sampling
#6
In statistics, what does the term 'sampling distribution' refer to?
The distribution of sample data
The distribution of the population
The distribution of sample statistics
The distribution of variables
#7
What is the central limit theorem?
It states that as sample size increases, the sampling distribution of the sample mean approaches a normal distribution.
It states that the sample mean is always equal to the population mean.
It states that the standard deviation of the population is equal to the standard deviation of the sample.
It states that the population distribution is always normal.
#8
Which of the following statements about stratified sampling is true?
It ensures that every individual in the population has an equal chance of being selected.
It divides the population into homogenous groups and then selects a random sample from each group.
It involves selecting every nth individual from the population.
It relies on the researcher's judgment to select participants.
#9
Which of the following is a disadvantage of simple random sampling?
It is time-consuming and expensive.
It may lead to biased results if the population is not well-defined.
It requires prior knowledge of the population characteristics.
It may not adequately represent the population if it is heterogeneous.
#10
What is the main difference between systematic sampling and stratified sampling?
Systematic sampling ensures equal representation of subgroups, while stratified sampling does not.
Stratified sampling involves selecting every nth individual, while systematic sampling involves selecting individuals from different strata.
Systematic sampling requires prior knowledge of population characteristics, while stratified sampling does not.
Stratified sampling guarantees equal chance of selection for all individuals, while systematic sampling does not.
#11
Which of the following statements about sampling distribution is correct?
The sampling distribution of the sample mean is always normal, regardless of the population distribution.
The sampling distribution of the sample mean has a standard deviation equal to the population standard deviation.
The shape of the sampling distribution depends solely on the sample size.
The sampling distribution of the sample mean approaches a normal distribution as the sample size increases, regardless of the population distribution.
#12
What is the purpose of cluster sampling?
To ensure that every individual in the population has an equal chance of being selected.
To divide the population into homogeneous groups.
To select individuals based on predetermined criteria.
To reduce sampling costs and increase efficiency.
#13
What is the difference between quota sampling and stratified sampling?
Quota sampling involves dividing the population into homogeneous groups, while stratified sampling does not.
Stratified sampling ensures equal representation of subgroups, while quota sampling does not.
Quota sampling does not require prior knowledge of population characteristics, while stratified sampling does.
Stratified sampling guarantees equal chance of selection for all individuals, while quota sampling does not.
#14
What is the main advantage of cluster sampling over stratified sampling?
Cluster sampling ensures equal representation of subgroups.
Cluster sampling is less time-consuming and expensive.
Cluster sampling allows for greater precision in estimation.
Cluster sampling reduces sampling variability.
#15
Which of the following sampling methods is most suitable for studying rare populations?
Stratified sampling
Convenience sampling
Quota sampling
Purposive sampling
#16
What is the advantage of using stratified sampling over simple random sampling?
It is less time-consuming and expensive.
It ensures equal representation of subgroups.
It eliminates the need for prior knowledge of population characteristics.
It reduces sampling variability.
#17
Which of the following sampling methods is most suitable for studying the opinions of a diverse population?
Stratified sampling
Systematic sampling
Convenience sampling
Snowball sampling