NUR 605 Statistical Analysis and Data Management for Healthcare Research: A
Comprehensive Examination of Descriptive Statistics, Inferential Tests, Probability
,Distributions, and Interpretation of Quantitative Findings for Graduate Nursing
Students
Examination: 150 Multiple-Choice Questions, Answers &
Rationales in Italics
Which of the following is an example of descriptive statistics?
A) T-test comparing two group means
B) Mean, median, and mode of a dataset
C) Chi-square test of independence
D) ANOVA with post-hoc testing
The mean of a dataset is calculated by:
A) Identifying the middle value when data are ordered
B) Summing all values and dividing by the number of values
C) Identifying the most frequently occurring value
D) Subtracting the minimum from the maximum
Which measure of central tendency is most affected by outliers?
A) Median
B) Mode
C) Mean
D) Range
, The median of the dataset [2, 4, 5, 7, 9] is:
A) 2
B) 5
C) 5.4
D) 7
For a dataset with an even number of values, the median is:
A) The lower middle value
B) The higher middle value
C) The average of the two middle values
D) The most frequent value
The mode of a dataset is:
A) The average of all values
B) The middle value
C) The most frequently occurring value
D) The difference between highest and lowest values
Which measure of central tendency is most appropriate for nominal data (e.g.,
blood type categories)?
A) Mean
B) Median
C) Mode
, D) Standard deviation
The range of a dataset is calculated as:
A) The average distance from the mean
B) The highest value minus the lowest value
C) The square root of the variance
D) The middle value of the dataset
The standard deviation measures:
A) The central tendency of the data
B) The average distance of each data point from the mean
C) The most frequent value
D) The middle value of the dataset
A small standard deviation indicates that data points:
A) Are widely spread from the mean
B) Are clustered closely around the mean
C) Have no relationship to the mean
D) Are all negative values
Variance is mathematically defined as:
A) The standard deviation squared
B) The square root of the standard deviation
Comprehensive Examination of Descriptive Statistics, Inferential Tests, Probability
,Distributions, and Interpretation of Quantitative Findings for Graduate Nursing
Students
Examination: 150 Multiple-Choice Questions, Answers &
Rationales in Italics
Which of the following is an example of descriptive statistics?
A) T-test comparing two group means
B) Mean, median, and mode of a dataset
C) Chi-square test of independence
D) ANOVA with post-hoc testing
The mean of a dataset is calculated by:
A) Identifying the middle value when data are ordered
B) Summing all values and dividing by the number of values
C) Identifying the most frequently occurring value
D) Subtracting the minimum from the maximum
Which measure of central tendency is most affected by outliers?
A) Median
B) Mode
C) Mean
D) Range
, The median of the dataset [2, 4, 5, 7, 9] is:
A) 2
B) 5
C) 5.4
D) 7
For a dataset with an even number of values, the median is:
A) The lower middle value
B) The higher middle value
C) The average of the two middle values
D) The most frequent value
The mode of a dataset is:
A) The average of all values
B) The middle value
C) The most frequently occurring value
D) The difference between highest and lowest values
Which measure of central tendency is most appropriate for nominal data (e.g.,
blood type categories)?
A) Mean
B) Median
C) Mode
, D) Standard deviation
The range of a dataset is calculated as:
A) The average distance from the mean
B) The highest value minus the lowest value
C) The square root of the variance
D) The middle value of the dataset
The standard deviation measures:
A) The central tendency of the data
B) The average distance of each data point from the mean
C) The most frequent value
D) The middle value of the dataset
A small standard deviation indicates that data points:
A) Are widely spread from the mean
B) Are clustered closely around the mean
C) Have no relationship to the mean
D) Are all negative values
Variance is mathematically defined as:
A) The standard deviation squared
B) The square root of the standard deviation
