STATISTICS PORTAGE CNSL 503 EXAM 3
COMPLETE STUDY GUIDE SUMMARY WITH
FULL SOLUTION AND TESTED QUESTIONS
⫸ example of parameter. Answer: population mean
⫸ statistic. Answer: a value that describes a sample; used to estimate
population parameter
⫸ example of a statistics. Answer: sample mean
⫸ In order to make correct inferences about the population, the sample
must.... Answer: reflect the population
⫸ representative sample. Answer: consist of members that possess the
same characteristics as those of the population
⫸ biased sample. Answer: a sample that is not representative of the
population
, ⫸ 5 types of sampling techniques. Answer: simple random sampling,
systematic sampling, stratified sampling, cluster sampling, and
convenience sampling
⫸ simple random sampling. Answer: each member of the population has
an equal chance of being selected for the sample
⫸ example of simple random sampling. 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.. Answer: independent
⫸ Simple random sampling is ideal for ____ populations.. Answer:
small
⫸ systemic sampling. 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. 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.. Answer: dependent
COMPLETE STUDY GUIDE SUMMARY WITH
FULL SOLUTION AND TESTED QUESTIONS
⫸ example of parameter. Answer: population mean
⫸ statistic. Answer: a value that describes a sample; used to estimate
population parameter
⫸ example of a statistics. Answer: sample mean
⫸ In order to make correct inferences about the population, the sample
must.... Answer: reflect the population
⫸ representative sample. Answer: consist of members that possess the
same characteristics as those of the population
⫸ biased sample. Answer: a sample that is not representative of the
population
, ⫸ 5 types of sampling techniques. Answer: simple random sampling,
systematic sampling, stratified sampling, cluster sampling, and
convenience sampling
⫸ simple random sampling. Answer: each member of the population has
an equal chance of being selected for the sample
⫸ example of simple random sampling. 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.. Answer: independent
⫸ Simple random sampling is ideal for ____ populations.. Answer:
small
⫸ systemic sampling. 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. 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.. Answer: dependent
