B.
Logistic regression.
✓
A.
Independent samples t-test.
✓
C.
Chi-square test of independence.
✓
A.
To immediately accept the findings.
✓
B.
To critically evaluate the potential for selection bias and its impact on the validity of the results.
✓
C.
To ignore the methods and focus only on the p-value.
✓
D.
To ask the researchers to collect more data.
✓
A.
The probability of making a Type II error.
✓
B.
The probability of correctly rejecting the null hypothesis.
✓
C.
The maximum acceptable probability of making a Type I error (false positive).
✓
D.
The power of the test.
✓
D.
Survival analysis (e.g., Kaplan-Meier or Cox regression).
✓
A.
Correlation implies causation.
✓
B.
The correlation is likely due to chance.
✓
C.
Correlation does not imply causation; confounding or other factors may be at play.
✓
D.
The study was poorly designed.
✓
A.
Independent samples t-test.
✓
