SAMPLING, POWER, AND STATISTICAL METHODS IN NURSING
RESEARCH QUESTIONS AND ANSWERS 2025/2026 UPDATED ALL
ANSWERS CORRECT DETAILED RATED A+ FOR SUCCESS
probability theory in research - CORRECT ANSWERS Predicting outcomes and guiding
interpretation of data.
descriptive statistics - CORRECT ANSWERS Methods that summarize data (e.g., mean,
median, mode, standard deviation).
inferential statistics - CORRECT ANSWERS Methods that allow conclusions about
populations based on sample data (e.g., t-tests, ANOVA, chi-square).
considerations when interpreting findings - CORRECT ANSWERS Effect size, confidence
intervals, p-values, bias, confounding variables, and study limitations.
process of evidence retrieval and synthesis - CORRECT ANSWERS Searching databases
for studies → Critically appraising quality → Combining findings to guide clinical decisions.
sampling - CORRECT ANSWERS Selecting a subset of a population to represent the
whole.
probability sampling - CORRECT ANSWERS Sampling where every individual has a
known chance of being selected (e.g., simple random, stratified, cluster).
non-probability sampling - CORRECT ANSWERS Sampling based on convenience or
judgment; harder to generalize (e.g., convenience, quota, purposive).
sampling bias - CORRECT ANSWERS When the sample is not representative of the
population.
RESEARCH QUESTIONS AND ANSWERS 2025/2026 UPDATED ALL
ANSWERS CORRECT DETAILED RATED A+ FOR SUCCESS
probability theory in research - CORRECT ANSWERS Predicting outcomes and guiding
interpretation of data.
descriptive statistics - CORRECT ANSWERS Methods that summarize data (e.g., mean,
median, mode, standard deviation).
inferential statistics - CORRECT ANSWERS Methods that allow conclusions about
populations based on sample data (e.g., t-tests, ANOVA, chi-square).
considerations when interpreting findings - CORRECT ANSWERS Effect size, confidence
intervals, p-values, bias, confounding variables, and study limitations.
process of evidence retrieval and synthesis - CORRECT ANSWERS Searching databases
for studies → Critically appraising quality → Combining findings to guide clinical decisions.
sampling - CORRECT ANSWERS Selecting a subset of a population to represent the
whole.
probability sampling - CORRECT ANSWERS Sampling where every individual has a
known chance of being selected (e.g., simple random, stratified, cluster).
non-probability sampling - CORRECT ANSWERS Sampling based on convenience or
judgment; harder to generalize (e.g., convenience, quota, purposive).
sampling bias - CORRECT ANSWERS When the sample is not representative of the
population.
