STAT401 (STAT 401) MIDTERM EXAM WITH COMPLETE SOLUTIONS
100% VERIFIED!!
population - ANSWER set of all subjects
sample - ANSWER the subset of the population chosen for study
cases or units - ANSWER the subjects or objects that we obtain information about
sampling variability - ANSWER the natural tendency of randomly drawn samples to
differ, one from another
representative sample - ANSWER randomly selected sample of subjects from a larger
population of subjects
random sample - ANSWER allows us to generalize findings from a sample to the
population
simple random sample - ANSWER every member of the population has a known and
equal chance of selection
stratified random sample - ANSWER a sample from selected subgroups of the target
population in which everyone in those subgroups has an equal chance of being included
in the research
clustered random sample - ANSWER Group into clusters, we randomly select clusters
and observe everyone in the selected clusters
convience sample - ANSWER sample chosen without any random mechanism; samples
, chosen based on ease of selection
Randomized assignment - ANSWER allows us to draw casual conclusions
variables - ANSWER any characteristic recorded for each unit
quantitative variables - ANSWER variables that can be counted or measured
categorical variables - ANSWER group or category names
explanatory variable - ANSWER a variable that we think explains or causes changes in
the response variable
response variable - ANSWER A variable that measures an outcome of a study
(dependent variable)
randomized experiment - ANSWER the value of the explanatory variable for each unit is
determined randomly, before the response variable is measured
observational study - ANSWER observes individuals and measures variables of interest
but does not attempt to influence the responses;
does not control anything
parameter of interest - ANSWER number about a population
statistic - ANSWER a numerical measurement describing some characteristic of a
sample mean
point estimate - ANSWER Single value that serves as an estimate of a population
100% VERIFIED!!
population - ANSWER set of all subjects
sample - ANSWER the subset of the population chosen for study
cases or units - ANSWER the subjects or objects that we obtain information about
sampling variability - ANSWER the natural tendency of randomly drawn samples to
differ, one from another
representative sample - ANSWER randomly selected sample of subjects from a larger
population of subjects
random sample - ANSWER allows us to generalize findings from a sample to the
population
simple random sample - ANSWER every member of the population has a known and
equal chance of selection
stratified random sample - ANSWER a sample from selected subgroups of the target
population in which everyone in those subgroups has an equal chance of being included
in the research
clustered random sample - ANSWER Group into clusters, we randomly select clusters
and observe everyone in the selected clusters
convience sample - ANSWER sample chosen without any random mechanism; samples
, chosen based on ease of selection
Randomized assignment - ANSWER allows us to draw casual conclusions
variables - ANSWER any characteristic recorded for each unit
quantitative variables - ANSWER variables that can be counted or measured
categorical variables - ANSWER group or category names
explanatory variable - ANSWER a variable that we think explains or causes changes in
the response variable
response variable - ANSWER A variable that measures an outcome of a study
(dependent variable)
randomized experiment - ANSWER the value of the explanatory variable for each unit is
determined randomly, before the response variable is measured
observational study - ANSWER observes individuals and measures variables of interest
but does not attempt to influence the responses;
does not control anything
parameter of interest - ANSWER number about a population
statistic - ANSWER a numerical measurement describing some characteristic of a
sample mean
point estimate - ANSWER Single value that serves as an estimate of a population
