cnsl 503 Module 6: (Latest Update 2025 /
2026) Statistics | Questions and Answers |
HIGHLY Grade A | 100% Correct - Portage
Learning
representative sample - CORRECT ANSWERS--composed of members that generally
possess the same characteristics as those of the population.
Random sampling, - CORRECT ANSWERS--Random sampling, in which every
member of the population has an equal chance of being selected, increases the
reliability of the study results. Random sampling is a form of probability sampling, where
each member is independent of the others
Simple random sampling - CORRECT ANSWERS--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
Simple random sampling relies on chance in order to create a representative sample. It
is not practical to use this method for large populations,
Stratified sampling - CORRECT ANSWERS--a population can be divided into
subgroups called strata.
randomly gathering data from subgroups within a sample. Strata such as race, gender,
and socioeconomic status are clearly defined
Stratified sampling is used when the researcher wants to compare outcomes for
different subgroups within a population or to compare outcomes between subgroups.
There are two types of stratified sampling - proportional and non-proportiona
Cluster sampling - CORRECT ANSWERS--dividing a population into subgroups known
as clusters and then randomly selecting several groups (clusters) for the study
For example, suppose you wanted to research nursing students taking graduate
statistics. It would be time-consuming and inefficient to get administrative approval to
conduct research on every nursing student in every college or university. Using cluster
2026) Statistics | Questions and Answers |
HIGHLY Grade A | 100% Correct - Portage
Learning
representative sample - CORRECT ANSWERS--composed of members that generally
possess the same characteristics as those of the population.
Random sampling, - CORRECT ANSWERS--Random sampling, in which every
member of the population has an equal chance of being selected, increases the
reliability of the study results. Random sampling is a form of probability sampling, where
each member is independent of the others
Simple random sampling - CORRECT ANSWERS--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
Simple random sampling relies on chance in order to create a representative sample. It
is not practical to use this method for large populations,
Stratified sampling - CORRECT ANSWERS--a population can be divided into
subgroups called strata.
randomly gathering data from subgroups within a sample. Strata such as race, gender,
and socioeconomic status are clearly defined
Stratified sampling is used when the researcher wants to compare outcomes for
different subgroups within a population or to compare outcomes between subgroups.
There are two types of stratified sampling - proportional and non-proportiona
Cluster sampling - CORRECT ANSWERS--dividing a population into subgroups known
as clusters and then randomly selecting several groups (clusters) for the study
For example, suppose you wanted to research nursing students taking graduate
statistics. It would be time-consuming and inefficient to get administrative approval to
conduct research on every nursing student in every college or university. Using cluster
