- Mean.
- Median.
- Z-score.
- Mode.
No category found.
- 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.
- Simple linear regression.
- Logistic regression.
- Multiple linear regression.
- Poisson regression.
- The probability of making a Type I error.
- The probability that the confidence interval contains the true population parameter.
- The power of the test.
- The p-value.
- Linear regression.
- Logistic regression.
- Poisson regression.
- Survival regression.
- Small sample size and low power are sufficient.
- A very large sample size and high power are critically needed.
- Sample size is irrelevant for small effects.
- The study should not be conducted.
- Independent samples t-test.
- Paired t-test.
- Chi-square test.
- One-way ANOVA.
- Census.
- Sampling.
- Parameter estimation.
- Hypothesis testing.
- Reject the null hypothesis.
- Fail to reject the null hypothesis.
- The drug is effective.
- The drug is ineffective.
- The standard deviation of the population.
- The standard deviation of the sample.
- The standard deviation of the sampling distribution of the sample mean.
- The range of the data.
- To immediately implement the intervention.
- To recognize that a p-value of 0.07 is not statistically significant at the 0.05 level, and further data or a larger study is urgently needed to make a definitive decision.
- To ignore the p-value and proceed.
- To assume the trend will continue.
- Non-inferiority test.
- Equivalence test.
- Superiority test.
- Association test.
- P-value.
- Hypothesis test.
- Confidence interval.
- Standard error.
