Sampling Techniques Crossword Puzzle

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Title

Words List(answer : question or clue)

CENSUS : A study of the entire population
SIMPLE RANDOM : A type of sampling where every element has an equal chance of being chosen (2 words)
NON RANDOM : The general group of sampling methods that do not generate a representative sample (2 words)
SAMPLE : A smaller but representative collection of units from a population
NON PROBABILISTIC : Sampling that relies on researcher’s discretion or availability of subjects (2 words)
SAMPLING ERROR : When sample results differ from true population parameters due to chance (2 words)
SAMPLING FRAME : A complete list from which a sample is drawn (2 words)
MULTISTAGE : A sampling technique that uses a combination of random sampling methods
STRATIFIED : Dividing the population into subgroups and then sampling within each subgroup
SYSTEMATIC : Choosing every kth element after a random start
CLUSTER : Selecting groups of study units instead of individuals
SAMPLING FRACTION : the ratio of the number of units in the sample to the number of units in the reference population (2 words)
PURPOSIVE : The researcher selects the sample based on judgment
CONVENIENCE : Sometimes known as grab or opportunity sampling or accidental or haphazard sampling.
SNOWBALL : sampling relies on referrals from initial subjects to generate additional subjects

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QUESTIONS LIST: census : a study of the entire population, simple random : a type of sampling where every element has an equal chance of being chosen (2 words), non random : the general group of sampling methods that do not generate a representative sample (2 words), sample : a smaller but representative collection of units from a population, non probabilistic : sampling that relies on researcher’s discretion or availability of subjects (2 words), sampling error : when sample results differ from true population parameters due to chance (2 words), sampling frame : a complete list from which a sample is drawn (2 words), multistage : a sampling technique that uses a combination of random sampling methods, stratified : dividing the population into subgroups and then sampling within each subgroup, systematic : choosing every kth element after a random start, cluster : selecting groups of study units instead of individuals, sampling fraction : the ratio of the number of units in the sample to the number of units in the reference population (2 words), purposive : the researcher selects the sample based on judgment, convenience : sometimes known as grab or opportunity sampling or accidental or haphazard sampling, snowball : sampling relies on referrals from initial subjects to generate additional subjects