AP STATS FINAL TEST BANK 2026
COMPLETE QUESTIONS AND ANSWERS 100%
CORRECT
◍ Sample. Answer: The part of the population from which we
actually collect information. We use information from a sample to
draw conclusions about the entire population.
◍ Census. Answer: A study that attempts to collect data from every
individual in the population.
◍ Sample Design. Answer: Plan created to capture a sample of the
population.
◍ Voluntary Response Sample. Answer: People decide whether to
join a sample based on an open invitation; particularly prone to large
bias.
◍ Convenience Sample. Answer: A sample selected by taking the
members of the population that are easiest to reach; particularly prone
to large bias.
◍ Bias. Answer: The design of a statistical study shows bias if it
systematically favors certain outcomes.
, ◍ Simple Random Sample (SRS). Answer: The basic random
sampling method. An SRS gives every possible sample of a given size
the same chance to be chosen. We often choose an SRS by labeling
the members of the population and using random digits to select the
sample.
◍ Stratified Random Sample. Answer: To select a stratified random
sample, first classify the population into groups of similar individuals,
called strata. Then choose a separate SRS from each stratum to form
the full sample.
◍ Cluster Sample. Answer: To take a cluster sample, first divide the
population into smaller groups. Ideally, these clusters should mirror
the characteristics of the population. Then choose an SRS of the
clusters. All individuals in the chosen clusters are included in the
sample.
◍ Undercoverage. Answer: A sampling error that occurs when some
members in the population are left out of the process of choosing the
sample.
◍ Nonresponse. Answer: Occurs when a selected individual cannot
be contacted or refuses to cooperate; an example of a nonsampling
error
◍ Response Bias. Answer: A systematic pattern of incorrect responses
in a sample survey.
COMPLETE QUESTIONS AND ANSWERS 100%
CORRECT
◍ Sample. Answer: The part of the population from which we
actually collect information. We use information from a sample to
draw conclusions about the entire population.
◍ Census. Answer: A study that attempts to collect data from every
individual in the population.
◍ Sample Design. Answer: Plan created to capture a sample of the
population.
◍ Voluntary Response Sample. Answer: People decide whether to
join a sample based on an open invitation; particularly prone to large
bias.
◍ Convenience Sample. Answer: A sample selected by taking the
members of the population that are easiest to reach; particularly prone
to large bias.
◍ Bias. Answer: The design of a statistical study shows bias if it
systematically favors certain outcomes.
, ◍ Simple Random Sample (SRS). Answer: The basic random
sampling method. An SRS gives every possible sample of a given size
the same chance to be chosen. We often choose an SRS by labeling
the members of the population and using random digits to select the
sample.
◍ Stratified Random Sample. Answer: To select a stratified random
sample, first classify the population into groups of similar individuals,
called strata. Then choose a separate SRS from each stratum to form
the full sample.
◍ Cluster Sample. Answer: To take a cluster sample, first divide the
population into smaller groups. Ideally, these clusters should mirror
the characteristics of the population. Then choose an SRS of the
clusters. All individuals in the chosen clusters are included in the
sample.
◍ Undercoverage. Answer: A sampling error that occurs when some
members in the population are left out of the process of choosing the
sample.
◍ Nonresponse. Answer: Occurs when a selected individual cannot
be contacted or refuses to cooperate; an example of a nonsampling
error
◍ Response Bias. Answer: A systematic pattern of incorrect responses
in a sample survey.
