Quiz 3 Flashcards
Parameter
A value (average, percentage, etc.) calculated using all the data from a population.
Census
A survey of an entire population
Sample
A smaller subset of the entire population, ideally one that is fairly representative of the whole population.
Statistic
A value (average, percentage, etc.) calculated using the data from a sample.
Categorical vs. quantitative data
Categorical: able to be classified in to various categories.
Quantitate: numerical in nature, that can produce meaningful arithmetic calculations.
Sampling BIAS
Bias if every member of the population doesn’t have an equal likelihood of being in the sample.
Simple Random Sample
Random sample: each member of the population has an equal probability of being chosen.
Simple Random Sample: every member of the population AND any group of members as equal probability of being chosen.
Sampling variability
Natural and unavoidable variation of samples that takes place in random sampling.
Stratified sampling
A population is divided into a number of subgroups. Random samples are then taken from each subgroup with sample sizes proportional to the size of the subgroup in the population.
Quota sampling
Variation of stratified sampling, samples are collected in each subgroup until the desired quota is met.
Cluster sampling
Population divided into clusters, a cluster is selected to be the sample.
Systematic sampling
Every (nth) member of the population is selected to be in the sample.
Convenience sampling
Samples chosen by selected whoever is convenient.
Voluntary response sampling
Allowing the sample to volunteer
Voluntary response BIAS
When the sample is not representative of the population