Latest Update 2025
parameter - correct answer -a numerical value that describes a population
example of parameter - correct answer -population mean
statistic - correct answer -a value that describes a sample; used to estimate population parameter
example of a statistics - correct answer -sample mean
In order to make correct inferences about the population, the sample must... - correct answer -reflect
the population
representative sample - correct answer -consist of members that possess the same characteristics as
those of the population
biased sample - correct answer -a sample that is not representative of the population
5 types of sampling techniques - correct answer -simple random sampling, systematic sampling,
stratified sampling, cluster sampling, and convenience sampling
simple random sampling - correct answer -each member of the population has an equal chance of being
selected for the sample
, Statistics Portage CNSL 503 Exam 3 Questions and Answers
Latest Update 2025
example of simple random sampling - correct answer -everyone in the population of interest rolls a die,
everyone rolling a 6 gets selected
In simple random sampling, the probability that each member is selected is ____ of one another. -
correct answer -independent
Simple random sampling is ideal for ____ populations. - correct answer -small
systemic sampling - correct answer -random sampling with a system in which a starting point is random
and each subsequent member is selected based on a fixed interval
example of systemic sampling - correct answer -shoppers at a store, start with second person entering
and survey every 5 shoppers
In systemic sampling, the probability that each member is selected is ____of one another. - correct
answer -dependent
Systematic sampling is more ____ that simple random sampling. - correct answer -efficient
What kind of problem can arise in systematic sampling? - correct answer -someone finds out and avoids
being the 5th person
stratified sampling - correct answer -dividing the population into strata and randomly sampling from
each stratum
example of stratified sampling - correct answer -dividing population into age groups and randomly
sampling from each stratum
Stratified sampling can be hard with... - correct answer -large populations
cluster sampling - correct answer -dividing the population into clusters and randomly sampling several
clusters, then study every member within the cluster