18 Questions
The sample results always provide exact values of the population characteristics.
False
In cluster sampling, the population is first divided into groups of elements called strata.
True
Convenience sampling and judgement sampling are examples of probability sampling techniques.
False
Nonsampling errors refer to the differences between the sample and the population that occur due to random sampling.
False
A frame is a list of the elements that the sample will not be selected from.
False
Sampling with replacement refers to selecting each sampled element without replacing it before selecting subsequent elements.
False
Sampling without replacement is a method where each sampled element is replaced before selecting subsequent elements.
True
Infinite population size is an example of an ongoing process.
True
Point estimation is a form of statistical inference.
True
In stratified random sampling, each element in the population belongs to only one stratum.
False
Convenience Sampling is a probability sampling technique.
False
Nonsampling errors can occur in a census.
True
A sample is a subset of the population.
True
Sampling with replacement is the procedure used most often.
False
The advantage of judgment sampling is that it is an easy way of selecting a sample.
False
In cluster sampling, the population is first divided into separate groups of elements called strata.
False
One of the reasons for non-sampling errors is coverage error.
True
A finite population is treated as being infinite, if n/N > 0.5.
False
Test your understanding of statistical concepts, including sampling methods, population sizes, and point estimation. Identify true or false statements about statistical inference, sampling with and without replacement, and more.
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