- Independent samples t-test.
- Paired t-test.
- Chi-square test.
- One-way ANOVA.
No category found.
- Independent samples t-test.
- Paired t-test.
- Chi-square test of independence.
- One-way ANOVA.
- Type I error.
- Correct decision.
- Type II error.
- Alpha error.
- Bar chart.
- Pie chart.
- Histogram.
- Scatter plot.
- To immediately adopt the new therapy.
- To urgently advise that conclusions should not be based on a single study, especially close to the significance threshold, and that replication and meta-analysis are critically important.
- To ignore all p-values.
- To assume one study is enough.
- Chi-square test.
- Paired t-test.
- Independent samples t-test.
- One-way ANOVA.
- Mean.
- Median.
- Mode.
- Standard deviation.
- Entire dataset.
- Middle 50% of the data.
- Top 25% of the data.
- Bottom 25% of the data.
- Normal distribution.
- Binomial distribution.
- Poisson distribution.
- Exponential distribution.
- Type II error.
- Correct decision.
- Type I error.
- Power.
- Independent samples t-test.
- Paired t-test.
- Chi-square test of independence.
- One-way ANOVA.
- Statistic.
- Sample.
- Parameter.
- Hypothesis.
- To proceed with the trial as is.
- To urgently recommend revising or replacing the outcome measure to ensure reliable and valid data collection, crucial for the integrity of the results.
- To ignore measurement issues.
- To tell the clinicians to be more careful.
- Logistic regression.
- Simple linear regression.
- Poisson regression.
- Survival regression.
- To immediately abandon the therapy.
- To urgently consider the implications of low power (high risk of Type II error) and the need for a larger, adequately powered trial before discarding a potentially beneficial therapy.
- To fund a smaller, less expensive trial.
- To rely solely on the current non-significant p-value.
- Statistical significance.
- Clinical significance.
- Accuracy (lack of bias) over precision.
- Power of the study.
- Independent samples t-test.
- Paired t-test.
- Chi-square test.
- Spearman's rank correlation or a non-parametric test for association.
- Point estimate.
- P-value.
- Confidence interval.
- Standard error.
