AP Statistics Review Chapters 1-5
flashcards exam question with answers
Population - -The entire group in which we are interested (want info from)
-Sample - -Part of population which we actually collect info from
-Simple Random Sample - -You list each member of the population and used
random numbers to decide which objects are in the sample
-Stratified Random Sample - -Classify population into groups of similar
individuals, called strata. Then choose a separate SRS in each strata, and
then combine to form the full sample
ex- separate males and females
-Cluster Sample - -The population is divided into groups called clusters from
which a simple random sample of clusters is selected.
-Convenience Sample Bias - -The sampler uses what is easy to get results
ex- A sampler stands outside a grocery store and picks whoever comes out
of the store
-Undercoverage - -When the sampler misses a group of the population
-Categorical Variable - -Places an individual into one of several groups or
categories
-Nonresponse - -When members of the sample do not respond
-Experiment - -Look at cause and effect by controlling variables thus
generating data
-Matched Pair design - -A matched pairs design is a special case of a
randomized block design. It can be used when the experiment has only two
treatment conditions; and subjects can be grouped into pairs, based on some
blocking variable. Then, within each pair, subjects are randomly assigned to
different treatments.
-Randomized Block - -With a randomized block design, the experimenter
divides subjects into subgroups called blocks, such that the variability within
blocks is less than the variability between blocks. Then, subjects within each
block are randomly assigned to treatment conditions. Compared to a
completely randomized design, this design reduces variability within
flashcards exam question with answers
Population - -The entire group in which we are interested (want info from)
-Sample - -Part of population which we actually collect info from
-Simple Random Sample - -You list each member of the population and used
random numbers to decide which objects are in the sample
-Stratified Random Sample - -Classify population into groups of similar
individuals, called strata. Then choose a separate SRS in each strata, and
then combine to form the full sample
ex- separate males and females
-Cluster Sample - -The population is divided into groups called clusters from
which a simple random sample of clusters is selected.
-Convenience Sample Bias - -The sampler uses what is easy to get results
ex- A sampler stands outside a grocery store and picks whoever comes out
of the store
-Undercoverage - -When the sampler misses a group of the population
-Categorical Variable - -Places an individual into one of several groups or
categories
-Nonresponse - -When members of the sample do not respond
-Experiment - -Look at cause and effect by controlling variables thus
generating data
-Matched Pair design - -A matched pairs design is a special case of a
randomized block design. It can be used when the experiment has only two
treatment conditions; and subjects can be grouped into pairs, based on some
blocking variable. Then, within each pair, subjects are randomly assigned to
different treatments.
-Randomized Block - -With a randomized block design, the experimenter
divides subjects into subgroups called blocks, such that the variability within
blocks is less than the variability between blocks. Then, subjects within each
block are randomly assigned to treatment conditions. Compared to a
completely randomized design, this design reduces variability within
