Module 3 CNSL 503 Comprehensive
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Statistic - Answer: a numerical value that is generated from the individual scores in the dataset
of a sample.
Parameter - Answer: a numerical value generated from the individual scores in the dataset of
the entire population.
representative sample - Answer: composed of members that generally possess the same
characteristics as those of the population. If a sample is not representative of the population,
then it is said to be biased.
Biased - Answer: if a sample is not representative of the population
What is the goal of sampling? - Answer: to gather data that can be used to make predictions or
generalizations about a population
Random sampling - Answer: in which every member of the population has an equal chance of
being selected, increases the reliability of the study results.
What are 5 sampling techniques? - Answer: Simple Random sampling
Stratified sampling
cluster sampling
, systematic sampling
convenience sampling
simple random sampling - Answer: occurs when each individual in the population of size has an
equal chance of being selected for the sample. If you have ever written individual names on
separate pieces of paper, placed all the pieces of paper in a hat, and selected names from the
hat, you have conducted simple random sampling.
Stratified sampling - Answer: a type of random sampling used when a population can be divided
into subgroups called strata. It involves randomly gathering data from subgroups within a
sample. Strata such as race, gender, and socioeconomic status are clearly defined.
Cluster sampling - Answer: used to select clusters of participants from within a population.
dividing a population into subgroups known as clusters and then randomly selecting several
groups (clusters) for the study.
everyone is studies inside the selected cluster
systematic sampling - Answer: involves establishing a rule for how sample members will be
selected. ie every 100th person
convenience sampling - Answer: involves selecting individuals because they just happen to be at
a certain place. For example, if you wanted to survey people in town about their dining out
habits, it would be convenient to go to the local diner and interview restaurant-goers as they
left the diner.
Doesn't result in a representative sample
Questions (Frequently Tested) with
Verified Answers
Save
Statistic - Answer: a numerical value that is generated from the individual scores in the dataset
of a sample.
Parameter - Answer: a numerical value generated from the individual scores in the dataset of
the entire population.
representative sample - Answer: composed of members that generally possess the same
characteristics as those of the population. If a sample is not representative of the population,
then it is said to be biased.
Biased - Answer: if a sample is not representative of the population
What is the goal of sampling? - Answer: to gather data that can be used to make predictions or
generalizations about a population
Random sampling - Answer: in which every member of the population has an equal chance of
being selected, increases the reliability of the study results.
What are 5 sampling techniques? - Answer: Simple Random sampling
Stratified sampling
cluster sampling
, systematic sampling
convenience sampling
simple random sampling - Answer: occurs when each individual in the population of size has an
equal chance of being selected for the sample. If you have ever written individual names on
separate pieces of paper, placed all the pieces of paper in a hat, and selected names from the
hat, you have conducted simple random sampling.
Stratified sampling - Answer: a type of random sampling used when a population can be divided
into subgroups called strata. It involves randomly gathering data from subgroups within a
sample. Strata such as race, gender, and socioeconomic status are clearly defined.
Cluster sampling - Answer: used to select clusters of participants from within a population.
dividing a population into subgroups known as clusters and then randomly selecting several
groups (clusters) for the study.
everyone is studies inside the selected cluster
systematic sampling - Answer: involves establishing a rule for how sample members will be
selected. ie every 100th person
convenience sampling - Answer: involves selecting individuals because they just happen to be at
a certain place. For example, if you wanted to survey people in town about their dining out
habits, it would be convenient to go to the local diner and interview restaurant-goers as they
left the diner.
Doesn't result in a representative sample
