UTK STAT 201 EXAM 2 VERIFIED ACCURATE STUDY
GUIDE
Population - Answers - an entire group of individual persons, objects, or items from
which samples may be drawn
Sample - Answers - smaller group selected from the original population
Who you want to ask - Answers - population
Who you can ask - Answers - sample frame
Sample Surveys - Answers - designed to ask questions of a small group of people in the
hope of learning something about the entire population
Who you actually ask - Answers - sample
Sampling methods that tend to over- or under-emphasize some characteristics of the
population - Answers - Biased
Protects us from the influences of all the features of our population by making sure that,
on average, the sample looks like the rest of the population - Answers - Randomization
The number of individuals in the sample - Answers - sample size
including everyone and then sampling the entire population - Answers - census
A parameter used in a model for a population - Answers - population parameter
any summary found from the data - Answers - sample statistic
Reduce sampling variability by identifying homogeneous subgroups and then randomly
sampling within each - Answers - Stratified samples
Randomly selecting among heterogeneous subgroups - Answers - Cluster samples
Combine several random sampling methods - Answers - multistage samples
samples that don't represent the population of interest - Answers - bad sampling frames
when individuals from a subgroup of the population are selected less often than they
should be - Answers - undercoverage
GUIDE
Population - Answers - an entire group of individual persons, objects, or items from
which samples may be drawn
Sample - Answers - smaller group selected from the original population
Who you want to ask - Answers - population
Who you can ask - Answers - sample frame
Sample Surveys - Answers - designed to ask questions of a small group of people in the
hope of learning something about the entire population
Who you actually ask - Answers - sample
Sampling methods that tend to over- or under-emphasize some characteristics of the
population - Answers - Biased
Protects us from the influences of all the features of our population by making sure that,
on average, the sample looks like the rest of the population - Answers - Randomization
The number of individuals in the sample - Answers - sample size
including everyone and then sampling the entire population - Answers - census
A parameter used in a model for a population - Answers - population parameter
any summary found from the data - Answers - sample statistic
Reduce sampling variability by identifying homogeneous subgroups and then randomly
sampling within each - Answers - Stratified samples
Randomly selecting among heterogeneous subgroups - Answers - Cluster samples
Combine several random sampling methods - Answers - multistage samples
samples that don't represent the population of interest - Answers - bad sampling frames
when individuals from a subgroup of the population are selected less often than they
should be - Answers - undercoverage
