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NSG 522 MIDTERM EXAM, THE NEWEST ACTUAL EXAM, COMPLETE 70 QUESTIONS AND CORRECTS DETAILED ANSWERS WITH 100% VERIFIED ANSWERS ALREADY GRADED IN A BRAND NEW VERSION 2-24

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NSG 522 MIDTERM EXAM, THE NEWEST ACTUAL EXAM, COMPLETE 70 QUESTIONS AND CORRECTS DETAILED ANSWERS WITH 100% VERIFIED ANSWERS ALREADY GRADED IN A BRAND NEW VERSION 2-24

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NSG 522 MIDTERM EXAM NEWEST ACTUAL EXAM COMPLETE 70
QUESTIONS AND CORRECT DETAILED ANSWERS 100% VERIFIED
ANSWERS ALREADY GRADED A BRAND NEW VERSION

1. 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: There is not a
statistically significant difference between the groups
2 . 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: C. A simple random sample
3. When performing a hypothesis test to compare groups, a type 1 error is made when a
researcher

A. Rejects the alternative hypothesis
B. Concludes that there is a significant difference between groups when there really is not a
difference C. Accepts the null hypothesis
D. Concludes that there is not a statistically significant difference when there really is a
difference: B. Concludes that there is a significant difference between groups when there
really is not a difference
4. When performing a hypothesis test, a type 2 error occurs when the researcher incorrectly

A. Accepts the alternative hypothesis
B. Concludes that the findings are not statistically significant
C. Rejects the null hypothesis
D. Concludes that the findings are statistically significant: B. Concludes that the findings are
not statistically significant
5. 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: c. We can be 95% confident that the true population mean lies within the
interval
6. Nonprobability samples are selected using a random process: False
7. Which of the following sampling methods would provide the best representation of a
population with the following racial compisition: 68% white, 15% African American, 12%
Hispanic, 5% Asian Cluster sample Simple random sample Quota sample Stratified
random sample: stratified random sample 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.: B. We can be
95% confident that the true populations mean is between 62.9 and 64.5 inches
8. The standard error of the mean is a measure of the spread of observations around the
mean of the observations: False
9. Which of the following are probability samples? SELECT ALL THAT APPLY; Cluster Sample

Stratified random sample

Quota sample

Convenience sample

Systematic sample: Systematic sample cluster
sample stratified random sample
10.When alpha is set at .05, that means that

A. There is a 95% chance of making a type 2 error
B. Only p-values >.05 are statistically significant
C. There is a 5% chance of making a type 1 error
D. There is a 5% chance of incorrectly accepting the null hypothesis: C. There is a 5% chance
of making a type 1 error
11.The null hypothesis always stats that there is no relationship between the variables or
differences between the groups: True
12.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

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