Statistics Portage CNSL 503 Exam 3 Exam 2026
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may result from a mistake during the measurement process or poorly worded
questions
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1 design bias 2 observer bias
3 measurement bias 4 non response bias
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Terms in this set (89)
, parameter a numerical value that describes a population
example of parameter population mean
statistic a value that describes a sample; used to estimate
population parameter
example of a statistics sample mean
In order to make correct inferences reflect the population
about the population, the sample
must...
representative sample consist of members that possess the same
characteristics as those of the population
biased sample a sample that is not representative of the
population
5 types of sampling techniques simple random sampling, systematic sampling,
stratified sampling, cluster sampling, and
convenience sampling
simple random sampling each member of the population has an equal
chance of being selected for the sample
example of simple random sampling everyone in the population of interest rolls a die,
everyone rolling a 6 gets selected
In simple random sampling, the independent
probability that each member is
selected is ____ of one another.
(Actual Exam) Questions with Expert verified
Answers (Latest Update 2026) UPDATE!!
Save
Practice questions for this set
Learn 1 /7 Study with Learn
may result from a mistake during the measurement process or poorly worded
questions
Choose an answer
1 design bias 2 observer bias
3 measurement bias 4 non response bias
Don't know?
Terms in this set (89)
, parameter a numerical value that describes a population
example of parameter population mean
statistic a value that describes a sample; used to estimate
population parameter
example of a statistics sample mean
In order to make correct inferences reflect the population
about the population, the sample
must...
representative sample consist of members that possess the same
characteristics as those of the population
biased sample a sample that is not representative of the
population
5 types of sampling techniques simple random sampling, systematic sampling,
stratified sampling, cluster sampling, and
convenience sampling
simple random sampling each member of the population has an equal
chance of being selected for the sample
example of simple random sampling everyone in the population of interest rolls a die,
everyone rolling a 6 gets selected
In simple random sampling, the independent
probability that each member is
selected is ____ of one another.
