Page 1 of 44
2026 NSG-522 MIDTERM EXAM REVIEW EXAM
COMPLETE CURRENT TESTING (204)
QUESTIONS AND DETAILED CORRECT
ANSWERS|TOP-RATED A+.
NSG-522
Prepare for your NSG-522 Midterm Exam Review with this
focused study guide. It covers key topics from the first half of the
course, including advanced patient assessment,
pathophysiology integration, pharmacologic considerations, and
evidence-based practice. Emphasizes clinical reasoning,
prioritization, and application of advanced nursing concepts to
exam-style questions. Suitable for graduate nursing students
preparing for the NSG-522 midterm review.
What are the two main types of samples? ✓ ✓ ......
ANSWER ....... Probability and nonprobability
What is probability sampling? ✓ ✓ ...... ANSWER .......
random sampling. Every member of the population has the
chance of being selected. The probability of being selected
can be calculated
, Page 2 of 44
What are the types of probability sampling used? ✓ ✓ ......
ANSWER ....... simple random and stratified random
What is a simple random sample?
Enumerate all members of population and select the desired
number of individuals at random
Each person has same probability of being selected
Provides best representation of a population ✓ ✓ ......
ANSWER .......
What is a stratified random sample? ✓ ✓ ...... ANSWER
....... Organize population into mutually existing strata
and select individuals at random within each stratum
Each person has a chance of being selected but the
probability varies with/between the strata
What is a cluster sample? ✓ ✓ ...... ANSWER .......
Samples clusters or groups instead of individuals
Examples might be schools, clinics, or neighborhoods
Selection process is still random
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Nonprobability sampling? ✓ ✓ ...... ANSWER ....... The
members of the population of interest do NOT all have an
opportunity for selection into study group(s)
Used when the researchers cannot use a random sampling
method
What are the types of nonprobability sampling used? ✓ ✓
...... ANSWER ....... convenience sample and quota
sample
Convenience sample ✓ ✓ ...... ANSWER ....... Non
probability sample
Literally a sample of convenience
Quota sample ✓ ✓ ...... ANSWER ....... Selected a pre-
determined number of individuals from the population of
interest
Participants are not randomly selected
Sampling error ✓ ✓ ...... ANSWER ....... a sample may
not accurately represent the population
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Measurement error ✓ ✓ ...... ANSWER ....... accuracy
of the measurement
Random error ✓ ✓ ...... ANSWER ....... truly random
error or 'noise' (unpredictable variation in data that does not
reflect the true value.)
A population parameter ✓ ✓ ...... ANSWER ....... is a
numerical value that describes a characteristic of an entire
population. The population parameter is unknown
How do we generate estimates of an unknown parameter?
✓ ✓ ...... ANSWER ....... we use sample statistics, such
as a mean or a proportion, which are estimates of a
population parameter
Do estimates contain errors? ✓ ✓ ...... ANSWER .......
estimates always have some errors!
2026 NSG-522 MIDTERM EXAM REVIEW EXAM
COMPLETE CURRENT TESTING (204)
QUESTIONS AND DETAILED CORRECT
ANSWERS|TOP-RATED A+.
NSG-522
Prepare for your NSG-522 Midterm Exam Review with this
focused study guide. It covers key topics from the first half of the
course, including advanced patient assessment,
pathophysiology integration, pharmacologic considerations, and
evidence-based practice. Emphasizes clinical reasoning,
prioritization, and application of advanced nursing concepts to
exam-style questions. Suitable for graduate nursing students
preparing for the NSG-522 midterm review.
What are the two main types of samples? ✓ ✓ ......
ANSWER ....... Probability and nonprobability
What is probability sampling? ✓ ✓ ...... ANSWER .......
random sampling. Every member of the population has the
chance of being selected. The probability of being selected
can be calculated
, Page 2 of 44
What are the types of probability sampling used? ✓ ✓ ......
ANSWER ....... simple random and stratified random
What is a simple random sample?
Enumerate all members of population and select the desired
number of individuals at random
Each person has same probability of being selected
Provides best representation of a population ✓ ✓ ......
ANSWER .......
What is a stratified random sample? ✓ ✓ ...... ANSWER
....... Organize population into mutually existing strata
and select individuals at random within each stratum
Each person has a chance of being selected but the
probability varies with/between the strata
What is a cluster sample? ✓ ✓ ...... ANSWER .......
Samples clusters or groups instead of individuals
Examples might be schools, clinics, or neighborhoods
Selection process is still random
, Page 3 of 44
Nonprobability sampling? ✓ ✓ ...... ANSWER ....... The
members of the population of interest do NOT all have an
opportunity for selection into study group(s)
Used when the researchers cannot use a random sampling
method
What are the types of nonprobability sampling used? ✓ ✓
...... ANSWER ....... convenience sample and quota
sample
Convenience sample ✓ ✓ ...... ANSWER ....... Non
probability sample
Literally a sample of convenience
Quota sample ✓ ✓ ...... ANSWER ....... Selected a pre-
determined number of individuals from the population of
interest
Participants are not randomly selected
Sampling error ✓ ✓ ...... ANSWER ....... a sample may
not accurately represent the population
, Page 4 of 44
Measurement error ✓ ✓ ...... ANSWER ....... accuracy
of the measurement
Random error ✓ ✓ ...... ANSWER ....... truly random
error or 'noise' (unpredictable variation in data that does not
reflect the true value.)
A population parameter ✓ ✓ ...... ANSWER ....... is a
numerical value that describes a characteristic of an entire
population. The population parameter is unknown
How do we generate estimates of an unknown parameter?
✓ ✓ ...... ANSWER ....... we use sample statistics, such
as a mean or a proportion, which are estimates of a
population parameter
Do estimates contain errors? ✓ ✓ ...... ANSWER .......
estimates always have some errors!
