How do confidence levels compare to significance levels?

A) Confidence levels and significance levels are both typically small.
B) Confidence levels and significance levels are both typically large.
C) Confidence levels are typically small and significance levels are typically large.
D) Confidence levels are typically large and significance levels are typically small.

Confidence levels and significance levels are both measures of the probability that a certain result is not due to random chance. However, they are calculated differently and have different interpretations. Confidence levels are typically larger (for example, 95% or 99%) and indicate the range within which a certain population parameter (such as a mean or proportion) is likely to fall. Significance levels are typically smaller (such as 0.05 or 0.01) and indicate the probability of obtaining results that are as extreme as or more extreme than the observed results if the null hypothesis (usually that there is no difference between groups or no association between variables) is true. Therefore, confidence levels and significance levels have different uses and implications in statistical analysis.