- Standard deviation.
- Variance.
- Range.
- Interquartile range.
No category found.
- Logistic regression.
- Linear regression.
- Poisson regression.
- Survival regression.
- Odds.
- Relative risk.
- Incidence.
- Prevalence.
- z=(180?170)/5=2.0.
- z=180?170=10.
- z=5/(180?170)=0.5.
- z=170/5=34.
- To immediately recommend approval.
- To caution that a non-significant result might be due to low power (Type II error) rather than true ineffectiveness, necessitating further investigation.
- To ignore the power and focus on the p-value.
- To recommend disapproval regardless of findings.
- Type I error.
- Alpha error.
- Type II error.
- Sampling error.
- Logistic regression.
- Simple linear regression.
- Poisson regression.
- Multiple linear regression.
- Standard deviation.
- Range.
- Variance.
- Interquartile range.
- Paired t-test.
- Independent samples t-test.
- Chi-square test.
- One-way ANOVA.
- Independent samples t-test.
- Paired t-test.
- Mann-Whitney U test (or Wilcoxon rank-sum test).
- ANOVA.
- Significance level.
- Confidence level.
- Power.
- P-value.
- Range.
- Interquartile range.
- Standard deviation.
- Mode.
- High power is not necessary.
- High statistical power (e.g., 80% or 90%) is critically needed.
- The power should be as low as possible.
- Power is only relevant for large differences.
- Nominal.
- Ordinal.
- Discrete.
- Continuous.
- Binomial distribution.
- Poisson distribution.
- Normal distribution.
- Uniform distribution.
- Histogram.
- Scatter plot.
- Pie chart or bar chart.
- Line graph.
- The drug definitely increases the biomarker.
- The drug definitely decreases the biomarker.
- The confidence interval includes zero, suggesting no statistically significant effect of the drug on the biomarker.
- The drug is highly effective.
