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Stratified random sampling is a method of sampling that involves

Stratified random sampling is a method of sampling that involves the division of a population into smaller subgroups known as
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Cluster sampling, stratified sampling and systematic sampling are types ofDirect sampling Indirect sampling Random sampling Non
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Every kth (Nth) element in a list is chosen for inclusion in the sample in:A. stratified random sampling. B. systematic random
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Every kth (Nth) element in a list is chosen for inclusion in the sample in:A. simple random sampling. B. cluster sampling. C.
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Find out an example for probability sampling?Convenience or accidental Sampling Stratified random sampling Quota sampling
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Which of the following sampling method allows every person, object, or event in the population have anonzero (equal) chance of
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Which one is called non-probability sampling?Quota sampling Cluster sampling Systematic sampling Stratified random sampling
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Which of the following is a type of non-probability sampling?A. Cluster sampling B. Snowball sampling C. Simple random sampling
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1.The state highway patrol stops every 5th car on highway 210 to check drivers' licenses and registrations. Which sampling
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Select the TWO options that are TRUE statements about survey sampling.Select one or more: (1)Cluster sampling usually increases
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