STATISTICS FOR NURSING RESEARCH A
WORKBOOK EXAM PREPARATION PACK 2026
KEY CONCEPTS AND REVISION NOTES
◉ What are measures of central tendency? Answer: Mean, median,
and mode.
◉ What does the mean represent in a data set? Answer: The average
score calculated by summing scores and dividing by the number of
scores.
◉ When is the median an appropriate measure of central tendency?
Answer: When the data do not form a symmetrical distribution
(skewed data).
◉ What is the mode? Answer: The most frequently occurring score
in a data set.
◉ What is the difference between descriptive and inferential
statistics? Answer: Descriptive statistics summarize data, while
inferential statistics make generalizations about populations based
on sample data.
, ◉ What are examples of inferential statistics? Answer: t-tests,
ANOVA, correlation, regression analysis, and chi-square tests.
◉ What is a key characteristic of the mean? Answer: It is sensitive to
extreme scores (outliers).
◉ What type of data is the median appropriate for? Answer:
Interval/ratio data and ordinal data.
◉ Why is the mode useful for nominal data? Answer: It identifies the
most frequently occurring category or label.
◉ What should be considered when choosing a measure of central
tendency? Answer: The level of measurement, the shape of the
distribution, and the research objective.
◉ What is the relationship between interval and ratio level data?
Answer: They are handled the same way statistically and
procedurally.
◉ What is the role of statistics in research conclusions? Answer:
Statistics help determine if results and conclusions are justified.
WORKBOOK EXAM PREPARATION PACK 2026
KEY CONCEPTS AND REVISION NOTES
◉ What are measures of central tendency? Answer: Mean, median,
and mode.
◉ What does the mean represent in a data set? Answer: The average
score calculated by summing scores and dividing by the number of
scores.
◉ When is the median an appropriate measure of central tendency?
Answer: When the data do not form a symmetrical distribution
(skewed data).
◉ What is the mode? Answer: The most frequently occurring score
in a data set.
◉ What is the difference between descriptive and inferential
statistics? Answer: Descriptive statistics summarize data, while
inferential statistics make generalizations about populations based
on sample data.
, ◉ What are examples of inferential statistics? Answer: t-tests,
ANOVA, correlation, regression analysis, and chi-square tests.
◉ What is a key characteristic of the mean? Answer: It is sensitive to
extreme scores (outliers).
◉ What type of data is the median appropriate for? Answer:
Interval/ratio data and ordinal data.
◉ Why is the mode useful for nominal data? Answer: It identifies the
most frequently occurring category or label.
◉ What should be considered when choosing a measure of central
tendency? Answer: The level of measurement, the shape of the
distribution, and the research objective.
◉ What is the relationship between interval and ratio level data?
Answer: They are handled the same way statistically and
procedurally.
◉ What is the role of statistics in research conclusions? Answer:
Statistics help determine if results and conclusions are justified.
