- Independent samples t-test.
- Paired t-test.
- Chi-square test.
- One-way ANOVA.

Category: BS Nursing
- To ignore the dropouts as normal.
- To urgently assess if the dropout is differential (related to outcome or treatment), as this can introduce selection bias and invalidate the study results.
- To only analyze complete cases.
- To recruit more participants.
- Two-tailed test.
- One-tailed (right-tailed) test.
- One-tailed (left-tailed) test.
- Non-directional test.
- Inferential statistics.
- Descriptive statistics.
- Hypothesis testing.
- Sampling.
- Paired t-test.
- Independent samples t-test.
- Chi-square test.
- One-way ANOVA.
- To assume the correlation is accurate.
- To urgently explain that measurement error can attenuate (reduce) the observed correlation, potentially masking a stronger true relationship.
- To ignore the measurement error.
- To only focus on the correlation coefficient.
- Superiority test.
- Non-inferiority test.
- Equivalence test.
- Association test.
- Histogram.
- Scatter plot.
- Bar chart.
- Line graph.
- Two-tailed test.
- One-tailed (right-tailed) test.
- One-tailed (left-tailed) test.
- Non-directional test.
- To use the data without any changes.
- To urgently highlight potential for information bias due to inconsistent data collection and to develop strategies to assess and mitigate this bias.
- To assume data are perfect.
- To only analyze a subset of the data.
- Independent samples t-test.
- Paired t-test.
- Chi-square test.
- One-way ANOVA.
- Continuous variables.
- Ordinal variables.
- Discrete variables.
- Nominal variables.
- Independent samples t-test.
- Paired t-test.
- Z-test for two proportions or Chi-square test.
- One-way ANOVA.
- To immediately allocate resources based on the study.
- To urgently explain that convenience samples may not be representative of the population, leading to biased estimates and potentially ineffective interventions.
- To ignore the sampling method.
- To assume all samples are representative.
- Independent samples t-test.
- Chi-square test.
- Pearson correlation.
- One-way ANOVA.
- Median.
- Mode.
- Mean.
- Range.
- T-distribution.
- Chi-square distribution.
- Z-distribution (Normal distribution).
- F-distribution.
- To immediately accept the subgroup findings.
- To urgently caution that post-hoc subgroup analyses can lead to spurious findings due to multiple comparisons, requiring independent validation.
- To disregard the main study results.
- To encourage more such analyses.
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