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CNSL 503: A GUIDE TO A+. QUESTIONS AND ANSWERS FORMAT.LATEST UPDATE

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CNSL 503: A GUIDE TO A+. QUESTIONS AND ANSWERS FORMAT.LATEST UPDATE 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 about the population, the sample must... reflect the population 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 probability that each member is selected is ____ of one another. independent Simple random sampling is ideal for ____ populations. small systemic sampling 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 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. dependent Systematic sampling is more ____ that simple random sampling. efficient What kind of problem can arise in systematic sampling? someone finds out and avoids being the 5th person stratified sampling dividing the population into strata and randomly sampling from each stratum example of stratified sampling dividing population into age groups and randomly sampling from each stratum Stratified sampling can be hard with... large populations cluster sampling dividing the population into clusters and randomly sampling several clusters, then study every member within the cluster example of cluster sampling nursing students taking stats, randomly sample number of counties and sampling students in those counties convenience sampling selecting a sample that is convenient and easy to access example of convenience sampling left handers at school, go into a large lecture hall and everyone left handed raises hand Does convenience sampling result in a representative sample? no Convenience sampling is generally more prone to ____ than other sampling. bias

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CNSL 503: A GUIDE TO A+. QUESTIONS AND ANSWERS
FORMAT.LATEST UPDATE
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 about the population, the sample must...

reflect the population

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 probability that each member is selected is ____ of one another.

independent

Simple random sampling is ideal for ____ populations.

small

systemic sampling

, 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

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.

dependent

Systematic sampling is more ____ that simple random sampling.

efficient

What kind of problem can arise in systematic sampling?

someone finds out and avoids being the 5th person

stratified sampling

dividing the population into strata and randomly sampling from each stratum

example of stratified sampling

dividing population into age groups and randomly sampling from each stratum

Stratified sampling can be hard with...

large populations

cluster sampling

dividing the population into clusters and randomly sampling several clusters, then study every member
within the cluster

example of cluster sampling

nursing students taking stats, randomly sample number of counties and sampling students in those
counties

convenience sampling

selecting a sample that is convenient and easy to access

example of convenience sampling

left handers at school, go into a large lecture hall and everyone left handed raises hand

Does convenience sampling result in a representative sample?

no

Convenience sampling is generally more prone to ____ than other sampling.

bias

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