To increase confidence level, you should lower the P value threshold.

To increase confidence level, you should lower the P value threshold.

• A. True
• B. False
• C. It depends on sample size
• D. It has no effect

Answer: (A)

Lowering the P value threshold raises the bar for what counts as statistically significant, which increases the confidence you can have in a result being real. The chance of a false positive is smaller when you require stronger evidence to reject the null hypothesis, so findings that meet the stricter threshold are more trustworthy. This higher confidence comes with a trade-off: it can reduce statistical power, making it harder to detect true effects unless you increase sample size or improve study design. So, while a tighter threshold generally boosts confidence in significant results, you may need more data to maintain the ability to uncover real differences.

Lowering the P value threshold raises the bar for what counts as statistically significant, which increases the confidence you can have in a result being real. The chance of a false positive is smaller when you require stronger evidence to reject the null hypothesis, so findings that meet the stricter threshold are more trustworthy. This higher confidence comes with a trade-off: it can reduce statistical power, making it harder to detect true effects unless you increase sample size or improve study design. So, while a tighter threshold generally boosts confidence in significant results, you may need more data to maintain the ability to uncover real differences.