NURS 5366 Module 7 Exam V3 | NURS
5366 Principles of Research in Nursing |
Actual Q&A with Rationale (NURS5366
Module 7 Exam) | The University of Texas
at Arlington
1. A researcher is examining the effect of a new wound-care protocol. The data collected
involves categorization of wound types without any inherent order. Which level of
measurement is being utilized?
A. Interval
B. Ordinal
C. Nominal
D. Ratio
Answer: C
Rationale: The Nominal level of measurement is the most basic form of data classification
where variables are categorized into mutually exclusive groups. These groups do not have
a mathematical rank or sequence relative to one another. Using this level allows
researchers to label and count frequencies of specific attributes within a sample.
2. Which statistical measure indicates the average distance of each score from the mean in a
distribution?
A. Range
,B. Median
C. Variance
D. Standard deviation
Answer: D
Rationale: The Standard deviation provides a clear measure of how spread out the values
are around the arithmetic mean. A small value suggests that the data points are clustered
closely to the average, while a large value indicates high variability. This statistic is vital for
understanding the consistency of clinical outcomes in nursing research.
3. A researcher erroneously rejects a null hypothesis that is actually true. This is an example
of what type of error?
A. Type II error
B. Sampling bias
C. Measurement error
D. Type I error
Answer: D
Rationale: A Type I error occurs when a researcher claims a significant finding exists when
the results are actually due to chance. This is also referred to as a false positive, potentially
leading to the adoption of ineffective treatments. Researchers set the alpha level to limit
the probability of making this specific statistical mistake.
, 4. In a study comparing the mean blood pressure of two independent groups, which
statistical test is most appropriate?
A. Chi-square
B. Pearson’s r
C. ANOVA
D. Independent t-test
Answer: D
Rationale: The Independent t-test is specifically designed to determine if there is a
statistically significant difference between the means of two unrelated groups. It assumes
that the dependent variable is measured at the interval or ratio level and follows a normal
distribution. In this scenario, comparing the blood pressure of two separate patient groups
fits these criteria perfectly.
5. What is the primary purpose of calculating a p-value in inferential statistics?
A. To measure the strength of a relationship
B. To describe the central tendency of the data
C. To identify the range of possible values for a parameter
D. To determine the probability that the results occurred by chance
Answer: D
5366 Principles of Research in Nursing |
Actual Q&A with Rationale (NURS5366
Module 7 Exam) | The University of Texas
at Arlington
1. A researcher is examining the effect of a new wound-care protocol. The data collected
involves categorization of wound types without any inherent order. Which level of
measurement is being utilized?
A. Interval
B. Ordinal
C. Nominal
D. Ratio
Answer: C
Rationale: The Nominal level of measurement is the most basic form of data classification
where variables are categorized into mutually exclusive groups. These groups do not have
a mathematical rank or sequence relative to one another. Using this level allows
researchers to label and count frequencies of specific attributes within a sample.
2. Which statistical measure indicates the average distance of each score from the mean in a
distribution?
A. Range
,B. Median
C. Variance
D. Standard deviation
Answer: D
Rationale: The Standard deviation provides a clear measure of how spread out the values
are around the arithmetic mean. A small value suggests that the data points are clustered
closely to the average, while a large value indicates high variability. This statistic is vital for
understanding the consistency of clinical outcomes in nursing research.
3. A researcher erroneously rejects a null hypothesis that is actually true. This is an example
of what type of error?
A. Type II error
B. Sampling bias
C. Measurement error
D. Type I error
Answer: D
Rationale: A Type I error occurs when a researcher claims a significant finding exists when
the results are actually due to chance. This is also referred to as a false positive, potentially
leading to the adoption of ineffective treatments. Researchers set the alpha level to limit
the probability of making this specific statistical mistake.
, 4. In a study comparing the mean blood pressure of two independent groups, which
statistical test is most appropriate?
A. Chi-square
B. Pearson’s r
C. ANOVA
D. Independent t-test
Answer: D
Rationale: The Independent t-test is specifically designed to determine if there is a
statistically significant difference between the means of two unrelated groups. It assumes
that the dependent variable is measured at the interval or ratio level and follows a normal
distribution. In this scenario, comparing the blood pressure of two separate patient groups
fits these criteria perfectly.
5. What is the primary purpose of calculating a p-value in inferential statistics?
A. To measure the strength of a relationship
B. To describe the central tendency of the data
C. To identify the range of possible values for a parameter
D. To determine the probability that the results occurred by chance
Answer: D
