Portage Learning CNSL 503 Module 3:
Sampling, Probability, and Hypothesis Testing
Questions and Answers with Complete Solutions |
New Update 2025
What is the difference between a statistic and a parameter? - ANSWER A
statistic is a descriptive statistical result that is generated from a sample, whereas
a parameter is a statistical result from a population.
A ___ sample is composed of members that generally possess the same
characteristics as those of the population. They allow for accurate inferences to be
made. - ANSWER representative sample
A ___ sample is not representative of the population. It is attributed to the
researcher and data collection methods, and do not allow for accurate inferences
to be made. - ANSWER biased
This method of sampling is when every member of the population has an equal
chance of being selected, this increases the reliability of results. Each member is
independent of the others: selecting one member does not increase or decrease
the likelihood of another member being selected. - ANSWER Random
sampling
This method of sampling is when each individual in the population of size has an
equal chance of being selected for the sample, and relies on chance to create a
representative sample. This is NOT feasible for large populations. - ANSWER
Simple random sampling
, This method of sampling is a type of random sampling when populations can be
subdivided into groups called strata. It randomly gathers data from subgroups
within a sample. It is used when researchers wants to compare outcomes for
different subgroups within a population or to compare outcomes within
subgroups - ANSWER Stratified sampling
Two types of stratified sampling: - ANSWER 1. Proportional
2. Non-proportional
Proportional stratified sampling produces a sample that includes - ANSWER
similar proportions to the population
Non-proportional stratified sampling gathers equal sample sizes from each group
regardless - ANSWER of proportional stability
This method of sampling divides a population into subgroups known as clusters
and then randomly selects several for the study. It is used when participants are
geographically spread out as it is more efficient and cost effective - ANSWER
Cluster sampling
This method of sampling involves establishing a rule for how sample members will
be selected (every 10th person, etc) - ANSWER Systematic sampling
This method of sampling does not result in a representative sample as it involves
selecting individuals based on them happening to be in a certain place, this can
result in sampling bias - ANSWER convenience sampling
Sampling, Probability, and Hypothesis Testing
Questions and Answers with Complete Solutions |
New Update 2025
What is the difference between a statistic and a parameter? - ANSWER A
statistic is a descriptive statistical result that is generated from a sample, whereas
a parameter is a statistical result from a population.
A ___ sample is composed of members that generally possess the same
characteristics as those of the population. They allow for accurate inferences to be
made. - ANSWER representative sample
A ___ sample is not representative of the population. It is attributed to the
researcher and data collection methods, and do not allow for accurate inferences
to be made. - ANSWER biased
This method of sampling is when every member of the population has an equal
chance of being selected, this increases the reliability of results. Each member is
independent of the others: selecting one member does not increase or decrease
the likelihood of another member being selected. - ANSWER Random
sampling
This method of sampling is when each individual in the population of size has an
equal chance of being selected for the sample, and relies on chance to create a
representative sample. This is NOT feasible for large populations. - ANSWER
Simple random sampling
, This method of sampling is a type of random sampling when populations can be
subdivided into groups called strata. It randomly gathers data from subgroups
within a sample. It is used when researchers wants to compare outcomes for
different subgroups within a population or to compare outcomes within
subgroups - ANSWER Stratified sampling
Two types of stratified sampling: - ANSWER 1. Proportional
2. Non-proportional
Proportional stratified sampling produces a sample that includes - ANSWER
similar proportions to the population
Non-proportional stratified sampling gathers equal sample sizes from each group
regardless - ANSWER of proportional stability
This method of sampling divides a population into subgroups known as clusters
and then randomly selects several for the study. It is used when participants are
geographically spread out as it is more efficient and cost effective - ANSWER
Cluster sampling
This method of sampling involves establishing a rule for how sample members will
be selected (every 10th person, etc) - ANSWER Systematic sampling
This method of sampling does not result in a representative sample as it involves
selecting individuals based on them happening to be in a certain place, this can
result in sampling bias - ANSWER convenience sampling
