NSG-522 Midterm Questions with
Accurate Answers
A 95% confidence interval for a mean indicates
A. 95% of the observations are located within the interval
B. there is a 95% chance that the finding is statistically significant
C. We can be 95% confident that the true population mean lies within the interval
D. All of the above correct answer c. We can be 95% confident that the true
population mean lies within the interval
A 95% confidence interval for the mean of a set of height measurement is 62.9
and 64.5 inches. This finding means that
A.There is a 5% chance of a type 1 error
B. We can be 95% confident that the true populations mean is between 62.9 and
64.5 inches
C. The confidence interval is not statistically significant
D. 95% of the observations in the data set are between 62.9 and 64.5 inches.
correct answer B. We can be 95% confident that the true populations mean is
between 62.9 and 64.5 inches
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. correct
answer A. There is statistically significant difference between the groups.
A clinical nurse specialist is comparing two post op pain management strategies
to determine whether there is a difference between the 2 strategies in cost of
care, length of hospital stay, and patient satisfaction with care. Which of the
following is/are dependent variables in this study?
Satisfaction with care
Cost of care
Pain management strategy
Clinical Nurse Specialist
Length of hospital stay correct answer Satisfaction with care
Cost of care
Length of hospital stay
A conceptual definition defines how a variable will be measured, and includes the
equipment and procedures that are used in the measurement correct 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.
, 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 correct
answer There is not a statistically significant difference between the groups
A p-value 0.50 from a Spearman Correlation Coefficient would indicate that there
is
A. A strong relationship between the variables
B. Not a statistically significant relationship between the variables
C. A moderate, positive relationship between the variables
D. A statistically significant relationship between the variables correct answer B.
Not a statistically significant relationship between the variables
A Pearson correlation coefficient is 0.04. This correlation indicates that there is
A statistically significant relationship between the variables
A moderate, positive relationship between the variables
A strong relationship between the variables
A very weak relationship between the variables correct answer A very weak
relationship between the variables
Accurate Answers
A 95% confidence interval for a mean indicates
A. 95% of the observations are located within the interval
B. there is a 95% chance that the finding is statistically significant
C. We can be 95% confident that the true population mean lies within the interval
D. All of the above correct answer c. We can be 95% confident that the true
population mean lies within the interval
A 95% confidence interval for the mean of a set of height measurement is 62.9
and 64.5 inches. This finding means that
A.There is a 5% chance of a type 1 error
B. We can be 95% confident that the true populations mean is between 62.9 and
64.5 inches
C. The confidence interval is not statistically significant
D. 95% of the observations in the data set are between 62.9 and 64.5 inches.
correct answer B. We can be 95% confident that the true populations mean is
between 62.9 and 64.5 inches
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. correct
answer A. There is statistically significant difference between the groups.
A clinical nurse specialist is comparing two post op pain management strategies
to determine whether there is a difference between the 2 strategies in cost of
care, length of hospital stay, and patient satisfaction with care. Which of the
following is/are dependent variables in this study?
Satisfaction with care
Cost of care
Pain management strategy
Clinical Nurse Specialist
Length of hospital stay correct answer Satisfaction with care
Cost of care
Length of hospital stay
A conceptual definition defines how a variable will be measured, and includes the
equipment and procedures that are used in the measurement correct 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.
, 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 correct
answer There is not a statistically significant difference between the groups
A p-value 0.50 from a Spearman Correlation Coefficient would indicate that there
is
A. A strong relationship between the variables
B. Not a statistically significant relationship between the variables
C. A moderate, positive relationship between the variables
D. A statistically significant relationship between the variables correct answer B.
Not a statistically significant relationship between the variables
A Pearson correlation coefficient is 0.04. This correlation indicates that there is
A statistically significant relationship between the variables
A moderate, positive relationship between the variables
A strong relationship between the variables
A very weak relationship between the variables correct answer A very weak
relationship between the variables
