(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
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The entire group of individuals or instances about whom we hope to learn
Population
A list of individuals from whom the sample is drawn
Sampling frame
Bias introduced when a large fraction of those sampled fails to respond
Nonresponse bias
Anything in a survey design that influences responses
Response bias
Consists of the entire population
Census
Each individual is given a fair, random chance of selection
Randomization
The number of individuals in a sample
Sample size
A (representative) subset of a population
Sample
A resource used to select the observational units to be included in the sample
Random mechanism
A sample that doesn’t end up including the same observational unit more than once in your sample
Sampling without replacement
Values calculated for sampled data
Statistic
introduced to a sample when individuals can choose on their own whether to participate in the sample
Voluntary response bias
A sample in which entire groups, are chosen at random for convenience
Cluster sample
This is if the statistics computed from sample accurately reflect the corresponding population parameters
Representative
A numerically valued attribute of a model for a population
Parameter
A sample drawn by selecting individuals systematically from a sampling frame
Systematic sample
sample consists of the individuals who are conveniently available
Convenience sample
Selecting each observation unit in your sample from the full population, even though that means you might end up including the same observational unit more than once in your sample
Sampling with replacement
The natural tendency of randomly drawn samples to differ, one from another.
Sampling variability
Asks questions of a sample drawn from some population
Sample survey
A sample in which each set of n elements in the population has an equal chance of selection
Simple random sample
A sampling scheme that biases the sample in a way that gives a part of the population less representation than it has in the population
Undercoverage
Any systematic failure of a sampling method to represent its population
Bias
A sample drawn from the population after it is divided into several subpopulations
Stratified random sample
