NSG 522 EPIDEMIOLOGY AND BIOSTAT MIDTERM, NSG 522
MIDTERM EXAM 2026/2027 QUESTIONS WITH DETAILED
VERIFIED ANSWERS / EXAM QUESTIONS AND VERIFIED
ANSWERS |ALREADY GRADED A+|
A clinical nurse leader on the surgical intensive care unit
compares two interventions for reducing the number of SSI's. A
statistical test comparing the number of infections in each group
yields p-value of .049. This value indicates that
A. There is a statistically significant difference between the groups
B. There is a risk of type 2 error
C. There is not a statistically significant difference between the
groups
D. There is not enough information presented to interpret the
findings. - ANSWER-A. There is statistically significant difference
between the groups.
A type 2 error occurs when the researcher concludes that there is
a statistically significant difference between the groups when
there really is no difference - ANSWER-False
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Differences between the characteristics of a sample and the
characteristics of the population of interest are due
Sampling error
Random error
Measurement error
Systematic error - ANSWER-Sampling error
When alpha is set at .05, only p-value of <.05 or >.95 are
statistically significant - ANSWER-False
A nurse researcher compares two interventions for preventing
CAUTI in an academic medical center. A statistical test comparing
the number of infections in the two groups yields a p-value of
0.10. This p-value means that.
A. There is a statistically significant difference between the two
groups.
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B.A larger sample is needed to to determine statistical
significance
C. The difference is clinically but not statistically significant
D. There is not a statistically significant difference between the
groups - ANSWER-There is not a statistically significant difference
between the groups
Which of the following samples would provide the best
representation of a population
A. A nonprobability sample
B. A quota sample
C. A simple random sample
D. A convenience sample - ANSWER-C. A simple random sample
When performing a hypothesis test to compare groups, a type 1
error is made when a researcher
A. Rejects the alternative hypothesis